Upload checkpoint-4000 checkpoint with evaluation results
Browse files- .gitattributes +2 -0
- checkpoint-4000/README.md +221 -0
- checkpoint-4000/adapter_config.json +46 -0
- checkpoint-4000/adapter_model.safetensors +3 -0
- checkpoint-4000/chat_template.jinja +109 -0
- checkpoint-4000/checkpoint-4000/README.md +171 -0
- checkpoint-4000/checkpoint-4000/adapter_config.json +46 -0
- checkpoint-4000/checkpoint-4000/adapter_model.safetensors +3 -0
- checkpoint-4000/checkpoint-4000/chat_template.jinja +109 -0
- checkpoint-4000/checkpoint-4000/optimizer.pt +3 -0
- checkpoint-4000/checkpoint-4000/rng_state_0.pth +3 -0
- checkpoint-4000/checkpoint-4000/rng_state_1.pth +3 -0
- checkpoint-4000/checkpoint-4000/rng_state_2.pth +3 -0
- checkpoint-4000/checkpoint-4000/rng_state_3.pth +3 -0
- checkpoint-4000/checkpoint-4000/scheduler.pt +3 -0
- checkpoint-4000/checkpoint-4000/special_tokens_map.json +17 -0
- checkpoint-4000/checkpoint-4000/tokenizer.json +3 -0
- checkpoint-4000/checkpoint-4000/tokenizer_config.json +2063 -0
- checkpoint-4000/checkpoint-4000/trainer_state.json +0 -0
- checkpoint-4000/checkpoint-4000/training_args.bin +3 -0
- checkpoint-4000/errors.jsonl +27 -0
- checkpoint-4000/metrics.jsonl +1 -0
- checkpoint-4000/optimizer.pt +3 -0
- checkpoint-4000/rng_state_0.pth +3 -0
- checkpoint-4000/rng_state_1.pth +3 -0
- checkpoint-4000/rng_state_2.pth +3 -0
- checkpoint-4000/rng_state_3.pth +3 -0
- checkpoint-4000/scheduler.pt +3 -0
- checkpoint-4000/special_tokens_map.json +17 -0
- checkpoint-4000/tokenizer.json +3 -0
- checkpoint-4000/tokenizer_config.json +2063 -0
- checkpoint-4000/trainer_state.json +0 -0
- checkpoint-4000/training_args.bin +3 -0
.gitattributes
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checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-2000/checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-4000/checkpoint-4000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-4000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-4000/README.md
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| 1 |
+
---
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| 2 |
+
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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| 3 |
+
library_name: transformers
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| 4 |
+
tags:
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| 5 |
+
- rust
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| 6 |
+
- rust-programming
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| 7 |
+
- code-generation
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| 8 |
+
- qlora
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| 9 |
+
- lora
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| 10 |
+
- peft
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| 11 |
+
- llama
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| 12 |
+
- meta-llama-3.1
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| 13 |
+
- instruction-tuned
|
| 14 |
+
- text-generation
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| 15 |
+
- sigilderg
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| 16 |
+
datasets:
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| 17 |
+
- ammarnasr/the-stack-rust-clean
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| 18 |
+
license: mit
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| 19 |
+
language:
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| 20 |
+
- en
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| 21 |
+
pipeline_tag: text-generation
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| 22 |
+
model-index:
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| 23 |
+
- name: llama8b-rust-qlora-phase1-step-4000
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| 24 |
+
results:
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| 25 |
+
- task:
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| 26 |
+
type: text-generation
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| 27 |
+
dataset:
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| 28 |
+
name: rust-code-evaluation
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| 29 |
+
type: code-generation
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| 30 |
+
metrics:
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| 31 |
+
- name: Compilation Rate
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| 32 |
+
type: compilation_rate
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| 33 |
+
value: 0.4706
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| 34 |
+
- name: Clippy Warnings (avg)
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| 35 |
+
type: clippy_warnings
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| 36 |
+
value: 0.0
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| 37 |
+
- name: Idiomatic Score
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| 38 |
+
type: idiomatic_score
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| 39 |
+
value: 0.1814
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| 40 |
+
- name: Documentation Rate
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| 41 |
+
type: doc_comment_rate
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| 42 |
+
value: 0.0
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| 43 |
+
- name: Avg Functions
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| 44 |
+
type: avg_functions
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| 45 |
+
value: 1.57
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| 46 |
+
- name: Avg Structs
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| 47 |
+
type: avg_structs
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| 48 |
+
value: 0.2157
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| 49 |
+
- name: Avg Traits
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| 50 |
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type: avg_traits
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| 51 |
+
value: 0.0588
|
| 52 |
+
- name: Test Rate
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| 53 |
+
type: test_rate
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| 54 |
+
value: 0.0
|
| 55 |
+
- name: Prompt Match Score
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| 56 |
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type: prompt_match
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| 57 |
+
value: 0.1679
|
| 58 |
+
source:
|
| 59 |
+
name: SigilDERG Evaluation
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| 60 |
+
url: https://github.com/Superuser666-Sigil/SigilDERG-Finetuner
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| 61 |
+
---
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| 62 |
+
|
| 63 |
+
# llama8b-rust-qlora-phase1 (checkpoint 4000 / 12000)
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| 64 |
+
|
| 65 |
+
> This card describes **checkpoint 4000** of the Phase 1 Rust QLoRA run.
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| 66 |
+
> For the full training plan, governance details, and final recommended checkpoints, see the **root model card** in the repository.
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| 67 |
+
|
| 68 |
+
## Model Description
|
| 69 |
+
|
| 70 |
+
This is a QLoRA fine-tuned version of **meta-llama/Meta-Llama-3.1-8B-Instruct** specifically trained on Rust code. The model uses 4-bit quantization with LoRA (Low-Rank Adaptation) adapters for efficient training and inference.
|
| 71 |
+
|
| 72 |
+
The primary modality is **Rust code with English comments and explanations**.
|
| 73 |
+
|
| 74 |
+
## Training Details
|
| 75 |
+
|
| 76 |
+
### Training Configuration
|
| 77 |
+
|
| 78 |
+
- **Base Model**: `meta-llama/Meta-Llama-3.1-8B-Instruct`
|
| 79 |
+
- **Training Steps**: 4,000 / 12,000 (this checkpoint)
|
| 80 |
+
- **Learning Rate**: 7.696043454011387e-05 (peak)
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| 81 |
+
- **Batch Size**: 16 × 4 (effective: 64)
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| 82 |
+
- **Sequence Length**: 4096
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| 83 |
+
- **Optimizer**: `paged_adamw_8bit`
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| 84 |
+
- **LR Scheduler**: cosine
|
| 85 |
+
- **Warmup Steps**: 250
|
| 86 |
+
- **Weight Decay**: 0.0
|
| 87 |
+
- **Gradient Checkpointing**: True
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| 88 |
+
- **BF16**: True
|
| 89 |
+
|
| 90 |
+
### LoRA Configuration
|
| 91 |
+
|
| 92 |
+
- **Rank (r)**: 16
|
| 93 |
+
- **Alpha**: 16
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| 94 |
+
- **Dropout**: 0.05
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| 95 |
+
- **Target Modules**: `q_proj, k_proj, v_proj, o_proj, up_proj, down_proj, gate_proj`
|
| 96 |
+
|
| 97 |
+
### Quantization
|
| 98 |
+
|
| 99 |
+
- **Method**: 4-bit NF4 (BitsAndBytes)
|
| 100 |
+
- **Compute Dtype**: bfloat16
|
| 101 |
+
- **Double Quantization**: True
|
| 102 |
+
|
| 103 |
+
### Datasets
|
| 104 |
+
|
| 105 |
+
The model was trained on the following dataset:
|
| 106 |
+
|
| 107 |
+
- `ammarnasr/the-stack-rust-clean`
|
| 108 |
+
|
| 109 |
+
**Dataset Configuration:**
|
| 110 |
+
|
| 111 |
+
- **Min Length**: 64
|
| 112 |
+
- **Max Length**: 200000
|
| 113 |
+
- **Exclude Tests**: True
|
| 114 |
+
- **Exclude Examples**: False
|
| 115 |
+
- **Exclude Benches**: True
|
| 116 |
+
- **Prefer Idiomatic**: False
|
| 117 |
+
- **Prefer Documented**: False
|
| 118 |
+
|
| 119 |
+
## Training Metrics
|
| 120 |
+
|
| 121 |
+
Latest logged training metrics around this checkpoint:
|
| 122 |
+
|
| 123 |
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- **loss**: 0.700100
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| 124 |
+
- **grad_norm**: 0.151135
|
| 125 |
+
- **learning_rate**: 0.000077
|
| 126 |
+
- **entropy**: 0.719703
|
| 127 |
+
- **num_tokens**: 707732735
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| 128 |
+
- **mean_token_accuracy**: 0.830230
|
| 129 |
+
- **epoch**: 1.233351
|
| 130 |
+
- **log_step**: 3,996
|
| 131 |
+
- **checkpoint_step**: 4,000
|
| 132 |
+
- **step**: 3,996
|
| 133 |
+
|
| 134 |
+
(Logging is done every few steps, so `log_step` reflects the nearest logged step to the checkpoint.)
|
| 135 |
+
|
| 136 |
+
## Evaluation Results
|
| 137 |
+
|
| 138 |
+
- **Compilation Rate**: 47.06% (51 samples evaluated)
|
| 139 |
+
- **Average Clippy Warnings**: 0.00
|
| 140 |
+
- **Idiomatic Score**: 0.1814
|
| 141 |
+
- **Documentation Rate**: 0.00%
|
| 142 |
+
- **Test Rate**: 0.00%
|
| 143 |
+
|
| 144 |
+
**Functionality Coverage:**
|
| 145 |
+
- Average Functions: 1.57
|
| 146 |
+
- Average Structs: 0.22
|
| 147 |
+
- Average Traits: 0.06
|
| 148 |
+
- Average Impls: 0.27
|
| 149 |
+
|
| 150 |
+
**Detailed Evaluation Data:**
|
| 151 |
+
- [Metrics (JSONL)](https://huggingface.co/Superuser666-Sigil/Llama-3.1-8B-Instruct-Rust-QLora/blob/main/checkpoint-4000/metrics.jsonl) - Full evaluation metrics
|
| 152 |
+
- [Error Logs (JSONL)](https://huggingface.co/Superuser666-Sigil/Llama-3.1-8B-Instruct-Rust-QLora/blob/main/checkpoint-4000/errors.jsonl) - Compilation and runtime errors
|
| 153 |
+
|
| 154 |
+
*Evaluation completed: 2025-11-20T01:04:51.448811*
|
| 155 |
+
## Governance and Intended Use
|
| 156 |
+
|
| 157 |
+
This checkpoint is part of the **SigilDERG** ecosystem and follows **Rule Zero** principles.
|
| 158 |
+
|
| 159 |
+
- Intended primarily for **Rust code generation, explanation, refactoring, and review**.
|
| 160 |
+
- Not intended as a general-purpose advisor for medical, legal, financial, or other high-stakes domains.
|
| 161 |
+
|
| 162 |
+
## Usage
|
| 163 |
+
|
| 164 |
+
### Loading the Model
|
| 165 |
+
|
| 166 |
+
```python
|
| 167 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 168 |
+
from peft import PeftModel
|
| 169 |
+
|
| 170 |
+
# Load base model
|
| 171 |
+
base_model = AutoModelForCausalLM.from_pretrained(
|
| 172 |
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"meta-llama/Meta-Llama-3.1-8B-Instruct",
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| 173 |
+
device_map="auto",
|
| 174 |
+
torch_dtype=torch.bfloat16
|
| 175 |
+
)
|
| 176 |
+
|
| 177 |
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# Load LoRA adapter
|
| 178 |
+
model = PeftModel.from_pretrained(base_model, "out/llama8b-rust-qlora-phase1/checkpoint-4000")
|
| 179 |
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tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
|
| 180 |
+
```
|
| 181 |
+
|
| 182 |
+
### Generation
|
| 183 |
+
|
| 184 |
+
```python
|
| 185 |
+
# Format prompt for instruct model
|
| 186 |
+
messages = [
|
| 187 |
+
{"role": "system", "content": "You are a helpful Rust programming assistant."},
|
| 188 |
+
{"role": "user", "content": "Write a function that calculates fibonacci numbers"}
|
| 189 |
+
]
|
| 190 |
+
|
| 191 |
+
# Apply chat template
|
| 192 |
+
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 193 |
+
|
| 194 |
+
# Generate
|
| 195 |
+
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|
| 196 |
+
outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7)
|
| 197 |
+
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 198 |
+
```
|
| 199 |
+
|
| 200 |
+
## Limitations
|
| 201 |
+
|
| 202 |
+
- This model is fine-tuned specifically for Rust code generation and may not perform well on other programming languages or general text tasks.
|
| 203 |
+
- The model inherits any limitations and biases from the base model.
|
| 204 |
+
- Generated code should always be reviewed and tested before use in production.
|
| 205 |
+
|
| 206 |
+
## Citation
|
| 207 |
+
|
| 208 |
+
If you use this model, please cite:
|
| 209 |
+
|
| 210 |
+
```bibtex
|
| 211 |
+
@software{sigilderg_finetuner,
|
| 212 |
+
title = {SigilDERG Rust Code Fine-tuned Model},
|
| 213 |
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author = {Superuser666-Sigil/Dave Tofflemire},
|
| 214 |
+
year = {2025},
|
| 215 |
+
url = {https://github.com/Superuser666-Sigil/SigilDERG-Finetuner}
|
| 216 |
+
}
|
| 217 |
+
```
|
| 218 |
+
|
| 219 |
+
## License
|
| 220 |
+
|
| 221 |
+
This model is released under the MIT License.
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checkpoint-4000/adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"up_proj",
|
| 35 |
+
"k_proj",
|
| 36 |
+
"gate_proj",
|
| 37 |
+
"o_proj",
|
| 38 |
+
"down_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-4000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b1a5060ed69ad664d39af1f8839da6eebf74fb2b9e2c09bd992f636fd5607ad
|
| 3 |
+
size 167832240
|
checkpoint-4000/chat_template.jinja
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token }}
|
| 2 |
+
{%- if custom_tools is defined %}
|
| 3 |
+
{%- set tools = custom_tools %}
|
| 4 |
+
{%- endif %}
|
| 5 |
+
{%- if not tools_in_user_message is defined %}
|
| 6 |
+
{%- set tools_in_user_message = true %}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{%- if not date_string is defined %}
|
| 9 |
+
{%- set date_string = "26 Jul 2024" %}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{%- if not tools is defined %}
|
| 12 |
+
{%- set tools = none %}
|
| 13 |
+
{%- endif %}
|
| 14 |
+
|
| 15 |
+
{#- This block extracts the system message, so we can slot it into the right place. #}
|
| 16 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 17 |
+
{%- set system_message = messages[0]['content']|trim %}
|
| 18 |
+
{%- set messages = messages[1:] %}
|
| 19 |
+
{%- else %}
|
| 20 |
+
{%- set system_message = "" %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
|
| 23 |
+
{#- System message + builtin tools #}
|
| 24 |
+
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
| 25 |
+
{%- if builtin_tools is defined or tools is not none %}
|
| 26 |
+
{{- "Environment: ipython\n" }}
|
| 27 |
+
{%- endif %}
|
| 28 |
+
{%- if builtin_tools is defined %}
|
| 29 |
+
{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{{- "Cutting Knowledge Date: December 2023\n" }}
|
| 32 |
+
{{- "Today Date: " + date_string + "\n\n" }}
|
| 33 |
+
{%- if tools is not none and not tools_in_user_message %}
|
| 34 |
+
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
| 35 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 36 |
+
{{- "Do not use variables.\n\n" }}
|
| 37 |
+
{%- for t in tools %}
|
| 38 |
+
{{- t | tojson(indent=4) }}
|
| 39 |
+
{{- "\n\n" }}
|
| 40 |
+
{%- endfor %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{{- system_message }}
|
| 43 |
+
{{- "<|eot_id|>" }}
|
| 44 |
+
|
| 45 |
+
{#- Custom tools are passed in a user message with some extra guidance #}
|
| 46 |
+
{%- if tools_in_user_message and not tools is none %}
|
| 47 |
+
{#- Extract the first user message so we can plug it in here #}
|
| 48 |
+
{%- if messages | length != 0 %}
|
| 49 |
+
{%- set first_user_message = messages[0]['content']|trim %}
|
| 50 |
+
{%- set messages = messages[1:] %}
|
| 51 |
+
{%- else %}
|
| 52 |
+
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
| 53 |
+
{%- endif %}
|
| 54 |
+
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
| 55 |
+
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
| 56 |
+
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
| 57 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 58 |
+
{{- "Do not use variables.\n\n" }}
|
| 59 |
+
{%- for t in tools %}
|
| 60 |
+
{{- t | tojson(indent=4) }}
|
| 61 |
+
{{- "\n\n" }}
|
| 62 |
+
{%- endfor %}
|
| 63 |
+
{{- first_user_message + "<|eot_id|>"}}
|
| 64 |
+
{%- endif %}
|
| 65 |
+
|
| 66 |
+
{%- for message in messages %}
|
| 67 |
+
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
| 68 |
+
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
| 69 |
+
{%- elif 'tool_calls' in message %}
|
| 70 |
+
{%- if not message.tool_calls|length == 1 %}
|
| 71 |
+
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
{%- set tool_call = message.tool_calls[0].function %}
|
| 74 |
+
{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
|
| 75 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 76 |
+
{{- "<|python_tag|>" + tool_call.name + ".call(" }}
|
| 77 |
+
{%- for arg_name, arg_val in tool_call.arguments | items %}
|
| 78 |
+
{{- arg_name + '="' + arg_val + '"' }}
|
| 79 |
+
{%- if not loop.last %}
|
| 80 |
+
{{- ", " }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endfor %}
|
| 83 |
+
{{- ")" }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 86 |
+
{{- '{"name": "' + tool_call.name + '", ' }}
|
| 87 |
+
{{- '"parameters": ' }}
|
| 88 |
+
{{- tool_call.arguments | tojson }}
|
| 89 |
+
{{- "}" }}
|
| 90 |
+
{%- endif %}
|
| 91 |
+
{%- if builtin_tools is defined %}
|
| 92 |
+
{#- This means we're in ipython mode #}
|
| 93 |
+
{{- "<|eom_id|>" }}
|
| 94 |
+
{%- else %}
|
| 95 |
+
{{- "<|eot_id|>" }}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- elif message.role == "tool" or message.role == "ipython" %}
|
| 98 |
+
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
| 99 |
+
{%- if message.content is mapping or message.content is iterable %}
|
| 100 |
+
{{- message.content | tojson }}
|
| 101 |
+
{%- else %}
|
| 102 |
+
{{- message.content }}
|
| 103 |
+
{%- endif %}
|
| 104 |
+
{{- "<|eot_id|>" }}
|
| 105 |
+
{%- endif %}
|
| 106 |
+
{%- endfor %}
|
| 107 |
+
{%- if add_generation_prompt %}
|
| 108 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
| 109 |
+
{%- endif %}
|
checkpoint-4000/checkpoint-4000/README.md
ADDED
|
@@ -0,0 +1,171 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
|
| 3 |
+
library_name: transformers
|
| 4 |
+
tags:
|
| 5 |
+
- rust
|
| 6 |
+
- code-generation
|
| 7 |
+
- qlora
|
| 8 |
+
- lora
|
| 9 |
+
- peft
|
| 10 |
+
- llama
|
| 11 |
+
- text-generation
|
| 12 |
+
- sigilderg
|
| 13 |
+
datasets:
|
| 14 |
+
- ammarnasr/the-stack-rust-clean
|
| 15 |
+
license: mit
|
| 16 |
+
language:
|
| 17 |
+
- en
|
| 18 |
+
pipeline_tag: text-generation
|
| 19 |
+
model-index:
|
| 20 |
+
- name: llama8b-rust-qlora-phase1
|
| 21 |
+
results:
|
| 22 |
+
- task:
|
| 23 |
+
type: text-generation
|
| 24 |
+
dataset:
|
| 25 |
+
name: rust-code-evaluation
|
| 26 |
+
type: code-generation
|
| 27 |
+
metrics:
|
| 28 |
+
- name: Compilation Rate
|
| 29 |
+
type: compilation_rate
|
| 30 |
+
value: null
|
| 31 |
+
- name: Clippy Warnings (avg)
|
| 32 |
+
type: clippy_warnings
|
| 33 |
+
value: null
|
| 34 |
+
- name: Idiomatic Score
|
| 35 |
+
type: idiomatic_score
|
| 36 |
+
value: null
|
| 37 |
+
---
|
| 38 |
+
|
| 39 |
+
# llama8b-rust-qlora-phase1
|
| 40 |
+
|
| 41 |
+
## Model Description
|
| 42 |
+
|
| 43 |
+
This is a QLoRA fine-tuned version of **meta-llama/Meta-Llama-3.1-8B-Instruct** specifically trained on Rust code. The model uses 4-bit quantization with LoRA (Low-Rank Adaptation) adapters for efficient training and inference.
|
| 44 |
+
|
| 45 |
+
## Training Details
|
| 46 |
+
|
| 47 |
+
### Training Configuration
|
| 48 |
+
|
| 49 |
+
- **Base Model**: `meta-llama/Meta-Llama-3.1-8B-Instruct`
|
| 50 |
+
- **Training Steps**: 4,000 / 12,000
|
| 51 |
+
- **Learning Rate**: 0.0001
|
| 52 |
+
- **Batch Size**: 16 × 4 (effective: 64)
|
| 53 |
+
- **Sequence Length**: 4096
|
| 54 |
+
- **Optimizer**: paged_adamw_8bit
|
| 55 |
+
- **LR Scheduler**: cosine
|
| 56 |
+
- **Warmup Steps**: 250
|
| 57 |
+
- **Weight Decay**: 0.0
|
| 58 |
+
- **Gradient Checkpointing**: True
|
| 59 |
+
- **BF16**: True
|
| 60 |
+
|
| 61 |
+
### LoRA Configuration
|
| 62 |
+
|
| 63 |
+
- **Rank (r)**: 16
|
| 64 |
+
- **Alpha**: 16
|
| 65 |
+
- **Dropout**: 0.05
|
| 66 |
+
- **Target Modules**: q_proj, k_proj, v_proj, o_proj, up_proj, down_proj, gate_proj
|
| 67 |
+
|
| 68 |
+
### Quantization
|
| 69 |
+
|
| 70 |
+
- **Method**: 4-bit NF4 (BitsAndBytes)
|
| 71 |
+
- **Compute Dtype**: bfloat16
|
| 72 |
+
- **Double Quantization**: True
|
| 73 |
+
|
| 74 |
+
### Datasets
|
| 75 |
+
|
| 76 |
+
The model was trained on the following datasets:
|
| 77 |
+
|
| 78 |
+
- `ammarnasr/the-stack-rust-clean`
|
| 79 |
+
|
| 80 |
+
**Dataset Configuration:**
|
| 81 |
+
- **Min Length**: 64
|
| 82 |
+
- **Max Length**: 200000
|
| 83 |
+
- **Exclude Tests**: True
|
| 84 |
+
- **Exclude Examples**: False
|
| 85 |
+
- **Exclude Benches**: True
|
| 86 |
+
- **Prefer Idiomatic**: False
|
| 87 |
+
- **Prefer Documented**: False
|
| 88 |
+
|
| 89 |
+
## Training Metrics
|
| 90 |
+
|
| 91 |
+
Latest training metrics (step 4,000):
|
| 92 |
+
|
| 93 |
+
- **loss**: 0.700100
|
| 94 |
+
- **grad_norm**: 0.151135
|
| 95 |
+
- **learning_rate**: 0.000077
|
| 96 |
+
- **entropy**: 0.719703
|
| 97 |
+
- **num_tokens**: 707732735.000000
|
| 98 |
+
- **mean_token_accuracy**: 0.830230
|
| 99 |
+
- **epoch**: 1.233351
|
| 100 |
+
- **step**: 3,996
|
| 101 |
+
|
| 102 |
+
## Evaluation Results
|
| 103 |
+
|
| 104 |
+
Evaluation results will be populated here as they become available. The model is evaluated on:
|
| 105 |
+
|
| 106 |
+
- **Compilation Rate**: Percentage of generated Rust code that compiles successfully
|
| 107 |
+
- **Clippy Warnings**: Average number of clippy warnings per sample
|
| 108 |
+
- **Idiomatic Score**: Measure of idiomatic Rust patterns in generated code
|
| 109 |
+
- **Documentation Rate**: Percentage of code with documentation comments
|
| 110 |
+
- **Functionality Coverage**: Analysis of functions, structs, traits, and impls
|
| 111 |
+
|
| 112 |
+
## Usage
|
| 113 |
+
|
| 114 |
+
### Loading the Model
|
| 115 |
+
|
| 116 |
+
```python
|
| 117 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 118 |
+
from peft import PeftModel
|
| 119 |
+
|
| 120 |
+
# Load base model
|
| 121 |
+
base_model = AutoModelForCausalLM.from_pretrained(
|
| 122 |
+
"meta-llama/Meta-Llama-3.1-8B-Instruct",
|
| 123 |
+
device_map="auto",
|
| 124 |
+
torch_dtype=torch.bfloat16
|
| 125 |
+
)
|
| 126 |
+
|
| 127 |
+
# Load LoRA adapter
|
| 128 |
+
model = PeftModel.from_pretrained(base_model, "out/llama8b-rust-qlora-phase1/checkpoint-4000")
|
| 129 |
+
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
|
| 130 |
+
```
|
| 131 |
+
|
| 132 |
+
### Generation
|
| 133 |
+
|
| 134 |
+
```python
|
| 135 |
+
# Format prompt for instruct model
|
| 136 |
+
messages = [
|
| 137 |
+
{"role": "system", "content": "You are a helpful Rust programming assistant."},
|
| 138 |
+
{"role": "user", "content": "Write a function that calculates fibonacci numbers"}
|
| 139 |
+
]
|
| 140 |
+
|
| 141 |
+
# Apply chat template
|
| 142 |
+
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 143 |
+
|
| 144 |
+
# Generate
|
| 145 |
+
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|
| 146 |
+
outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7)
|
| 147 |
+
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 148 |
+
```
|
| 149 |
+
|
| 150 |
+
## Limitations
|
| 151 |
+
|
| 152 |
+
- This model is fine-tuned specifically for Rust code generation and may not perform well on other programming languages or general text tasks.
|
| 153 |
+
- The model inherits any limitations and biases from the base model.
|
| 154 |
+
- Generated code should always be reviewed and tested before use in production.
|
| 155 |
+
|
| 156 |
+
## Citation
|
| 157 |
+
|
| 158 |
+
If you use this model, please cite:
|
| 159 |
+
|
| 160 |
+
```bibtex
|
| 161 |
+
@software{sigilderg_finetuner,
|
| 162 |
+
title = {SigilDERG Rust Code Fine-tuned Model},
|
| 163 |
+
author = {Superuser666-Sigil/Dave Tofflemire},
|
| 164 |
+
year = {2025},
|
| 165 |
+
url = {https://github.com/Superuser666-Sigil/SigilDERG-Finetuner}
|
| 166 |
+
}
|
| 167 |
+
```
|
| 168 |
+
|
| 169 |
+
## License
|
| 170 |
+
|
| 171 |
+
This model is released under the MIT License.
|
checkpoint-4000/checkpoint-4000/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"up_proj",
|
| 35 |
+
"k_proj",
|
| 36 |
+
"gate_proj",
|
| 37 |
+
"o_proj",
|
| 38 |
+
"down_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-4000/checkpoint-4000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b1a5060ed69ad664d39af1f8839da6eebf74fb2b9e2c09bd992f636fd5607ad
|
| 3 |
+
size 167832240
|
checkpoint-4000/checkpoint-4000/chat_template.jinja
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token }}
|
| 2 |
+
{%- if custom_tools is defined %}
|
| 3 |
+
{%- set tools = custom_tools %}
|
| 4 |
+
{%- endif %}
|
| 5 |
+
{%- if not tools_in_user_message is defined %}
|
| 6 |
+
{%- set tools_in_user_message = true %}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{%- if not date_string is defined %}
|
| 9 |
+
{%- set date_string = "26 Jul 2024" %}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{%- if not tools is defined %}
|
| 12 |
+
{%- set tools = none %}
|
| 13 |
+
{%- endif %}
|
| 14 |
+
|
| 15 |
+
{#- This block extracts the system message, so we can slot it into the right place. #}
|
| 16 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 17 |
+
{%- set system_message = messages[0]['content']|trim %}
|
| 18 |
+
{%- set messages = messages[1:] %}
|
| 19 |
+
{%- else %}
|
| 20 |
+
{%- set system_message = "" %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
|
| 23 |
+
{#- System message + builtin tools #}
|
| 24 |
+
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
| 25 |
+
{%- if builtin_tools is defined or tools is not none %}
|
| 26 |
+
{{- "Environment: ipython\n" }}
|
| 27 |
+
{%- endif %}
|
| 28 |
+
{%- if builtin_tools is defined %}
|
| 29 |
+
{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{{- "Cutting Knowledge Date: December 2023\n" }}
|
| 32 |
+
{{- "Today Date: " + date_string + "\n\n" }}
|
| 33 |
+
{%- if tools is not none and not tools_in_user_message %}
|
| 34 |
+
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
| 35 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 36 |
+
{{- "Do not use variables.\n\n" }}
|
| 37 |
+
{%- for t in tools %}
|
| 38 |
+
{{- t | tojson(indent=4) }}
|
| 39 |
+
{{- "\n\n" }}
|
| 40 |
+
{%- endfor %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{{- system_message }}
|
| 43 |
+
{{- "<|eot_id|>" }}
|
| 44 |
+
|
| 45 |
+
{#- Custom tools are passed in a user message with some extra guidance #}
|
| 46 |
+
{%- if tools_in_user_message and not tools is none %}
|
| 47 |
+
{#- Extract the first user message so we can plug it in here #}
|
| 48 |
+
{%- if messages | length != 0 %}
|
| 49 |
+
{%- set first_user_message = messages[0]['content']|trim %}
|
| 50 |
+
{%- set messages = messages[1:] %}
|
| 51 |
+
{%- else %}
|
| 52 |
+
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
| 53 |
+
{%- endif %}
|
| 54 |
+
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
| 55 |
+
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
| 56 |
+
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
| 57 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 58 |
+
{{- "Do not use variables.\n\n" }}
|
| 59 |
+
{%- for t in tools %}
|
| 60 |
+
{{- t | tojson(indent=4) }}
|
| 61 |
+
{{- "\n\n" }}
|
| 62 |
+
{%- endfor %}
|
| 63 |
+
{{- first_user_message + "<|eot_id|>"}}
|
| 64 |
+
{%- endif %}
|
| 65 |
+
|
| 66 |
+
{%- for message in messages %}
|
| 67 |
+
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
| 68 |
+
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
| 69 |
+
{%- elif 'tool_calls' in message %}
|
| 70 |
+
{%- if not message.tool_calls|length == 1 %}
|
| 71 |
+
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
{%- set tool_call = message.tool_calls[0].function %}
|
| 74 |
+
{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
|
| 75 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 76 |
+
{{- "<|python_tag|>" + tool_call.name + ".call(" }}
|
| 77 |
+
{%- for arg_name, arg_val in tool_call.arguments | items %}
|
| 78 |
+
{{- arg_name + '="' + arg_val + '"' }}
|
| 79 |
+
{%- if not loop.last %}
|
| 80 |
+
{{- ", " }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endfor %}
|
| 83 |
+
{{- ")" }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 86 |
+
{{- '{"name": "' + tool_call.name + '", ' }}
|
| 87 |
+
{{- '"parameters": ' }}
|
| 88 |
+
{{- tool_call.arguments | tojson }}
|
| 89 |
+
{{- "}" }}
|
| 90 |
+
{%- endif %}
|
| 91 |
+
{%- if builtin_tools is defined %}
|
| 92 |
+
{#- This means we're in ipython mode #}
|
| 93 |
+
{{- "<|eom_id|>" }}
|
| 94 |
+
{%- else %}
|
| 95 |
+
{{- "<|eot_id|>" }}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- elif message.role == "tool" or message.role == "ipython" %}
|
| 98 |
+
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
| 99 |
+
{%- if message.content is mapping or message.content is iterable %}
|
| 100 |
+
{{- message.content | tojson }}
|
| 101 |
+
{%- else %}
|
| 102 |
+
{{- message.content }}
|
| 103 |
+
{%- endif %}
|
| 104 |
+
{{- "<|eot_id|>" }}
|
| 105 |
+
{%- endif %}
|
| 106 |
+
{%- endfor %}
|
| 107 |
+
{%- if add_generation_prompt %}
|
| 108 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
| 109 |
+
{%- endif %}
|
checkpoint-4000/checkpoint-4000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:73a499198a27553853d237f2e9beaa0f6d1f5e059c35ee8557df189c8f640d2e
|
| 3 |
+
size 85729445
|
checkpoint-4000/checkpoint-4000/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2c824a76bc2a184f5dffaca792ea374a9d53c591ab07bf128be56e73d54a88d
|
| 3 |
+
size 15429
|
checkpoint-4000/checkpoint-4000/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4b7d31c5fc8da7a3651d0f39d0e6b6597ad93a14aab484f66ba9d8e16f9f68a8
|
| 3 |
+
size 15429
|
checkpoint-4000/checkpoint-4000/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e8566b9b4e94c81ba4e5ef62d02263ef8c908fe4dbcd9f1bf64a0a4fa726af8d
|
| 3 |
+
size 15429
|
checkpoint-4000/checkpoint-4000/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f6f1bf30996ba2f3763598405be7ef2caa4ef349d42ce4b3e3dbfdcce4458544
|
| 3 |
+
size 15429
|
checkpoint-4000/checkpoint-4000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:feb85219c34785ec8cb7c739d1c2d7921efee4dbad9ff8499ab412934f79f7de
|
| 3 |
+
size 1465
|
checkpoint-4000/checkpoint-4000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin_of_text|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|eot_id|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|eot_id|>"
|
| 17 |
+
}
|
checkpoint-4000/checkpoint-4000/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
| 3 |
+
size 17209920
|
checkpoint-4000/checkpoint-4000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,2063 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"128000": {
|
| 4 |
+
"content": "<|begin_of_text|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"128001": {
|
| 12 |
+
"content": "<|end_of_text|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"128002": {
|
| 20 |
+
"content": "<|reserved_special_token_0|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"128003": {
|
| 28 |
+
"content": "<|reserved_special_token_1|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128004": {
|
| 36 |
+
"content": "<|finetune_right_pad_id|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"128005": {
|
| 44 |
+
"content": "<|reserved_special_token_2|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"128006": {
|
| 52 |
+
"content": "<|start_header_id|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"128007": {
|
| 60 |
+
"content": "<|end_header_id|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"128008": {
|
| 68 |
+
"content": "<|eom_id|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"128009": {
|
| 76 |
+
"content": "<|eot_id|>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"128010": {
|
| 84 |
+
"content": "<|python_tag|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"128011": {
|
| 92 |
+
"content": "<|reserved_special_token_3|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"128012": {
|
| 100 |
+
"content": "<|reserved_special_token_4|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"128013": {
|
| 108 |
+
"content": "<|reserved_special_token_5|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"128014": {
|
| 116 |
+
"content": "<|reserved_special_token_6|>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"128015": {
|
| 124 |
+
"content": "<|reserved_special_token_7|>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"128016": {
|
| 132 |
+
"content": "<|reserved_special_token_8|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"128017": {
|
| 140 |
+
"content": "<|reserved_special_token_9|>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"128018": {
|
| 148 |
+
"content": "<|reserved_special_token_10|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"128019": {
|
| 156 |
+
"content": "<|reserved_special_token_11|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"128020": {
|
| 164 |
+
"content": "<|reserved_special_token_12|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"128021": {
|
| 172 |
+
"content": "<|reserved_special_token_13|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"128022": {
|
| 180 |
+
"content": "<|reserved_special_token_14|>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"128023": {
|
| 188 |
+
"content": "<|reserved_special_token_15|>",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
+
"128024": {
|
| 196 |
+
"content": "<|reserved_special_token_16|>",
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"normalized": false,
|
| 199 |
+
"rstrip": false,
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"special": true
|
| 202 |
+
},
|
| 203 |
+
"128025": {
|
| 204 |
+
"content": "<|reserved_special_token_17|>",
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"normalized": false,
|
| 207 |
+
"rstrip": false,
|
| 208 |
+
"single_word": false,
|
| 209 |
+
"special": true
|
| 210 |
+
},
|
| 211 |
+
"128026": {
|
| 212 |
+
"content": "<|reserved_special_token_18|>",
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"normalized": false,
|
| 215 |
+
"rstrip": false,
|
| 216 |
+
"single_word": false,
|
| 217 |
+
"special": true
|
| 218 |
+
},
|
| 219 |
+
"128027": {
|
| 220 |
+
"content": "<|reserved_special_token_19|>",
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"normalized": false,
|
| 223 |
+
"rstrip": false,
|
| 224 |
+
"single_word": false,
|
| 225 |
+
"special": true
|
| 226 |
+
},
|
| 227 |
+
"128028": {
|
| 228 |
+
"content": "<|reserved_special_token_20|>",
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"normalized": false,
|
| 231 |
+
"rstrip": false,
|
| 232 |
+
"single_word": false,
|
| 233 |
+
"special": true
|
| 234 |
+
},
|
| 235 |
+
"128029": {
|
| 236 |
+
"content": "<|reserved_special_token_21|>",
|
| 237 |
+
"lstrip": false,
|
| 238 |
+
"normalized": false,
|
| 239 |
+
"rstrip": false,
|
| 240 |
+
"single_word": false,
|
| 241 |
+
"special": true
|
| 242 |
+
},
|
| 243 |
+
"128030": {
|
| 244 |
+
"content": "<|reserved_special_token_22|>",
|
| 245 |
+
"lstrip": false,
|
| 246 |
+
"normalized": false,
|
| 247 |
+
"rstrip": false,
|
| 248 |
+
"single_word": false,
|
| 249 |
+
"special": true
|
| 250 |
+
},
|
| 251 |
+
"128031": {
|
| 252 |
+
"content": "<|reserved_special_token_23|>",
|
| 253 |
+
"lstrip": false,
|
| 254 |
+
"normalized": false,
|
| 255 |
+
"rstrip": false,
|
| 256 |
+
"single_word": false,
|
| 257 |
+
"special": true
|
| 258 |
+
},
|
| 259 |
+
"128032": {
|
| 260 |
+
"content": "<|reserved_special_token_24|>",
|
| 261 |
+
"lstrip": false,
|
| 262 |
+
"normalized": false,
|
| 263 |
+
"rstrip": false,
|
| 264 |
+
"single_word": false,
|
| 265 |
+
"special": true
|
| 266 |
+
},
|
| 267 |
+
"128033": {
|
| 268 |
+
"content": "<|reserved_special_token_25|>",
|
| 269 |
+
"lstrip": false,
|
| 270 |
+
"normalized": false,
|
| 271 |
+
"rstrip": false,
|
| 272 |
+
"single_word": false,
|
| 273 |
+
"special": true
|
| 274 |
+
},
|
| 275 |
+
"128034": {
|
| 276 |
+
"content": "<|reserved_special_token_26|>",
|
| 277 |
+
"lstrip": false,
|
| 278 |
+
"normalized": false,
|
| 279 |
+
"rstrip": false,
|
| 280 |
+
"single_word": false,
|
| 281 |
+
"special": true
|
| 282 |
+
},
|
| 283 |
+
"128035": {
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| 284 |
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| 1548 |
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| 1572 |
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| 1860 |
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| 1868 |
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| 1882 |
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| 1884 |
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| 1885 |
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| 1886 |
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| 1887 |
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| 1890 |
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| 1892 |
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| 1893 |
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| 1898 |
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| 1900 |
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| 1901 |
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| 1906 |
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| 1908 |
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| 1914 |
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| 1915 |
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| 1916 |
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| 1917 |
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| 1918 |
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| 1919 |
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| 1920 |
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| 1921 |
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| 1922 |
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| 1923 |
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|
| 1924 |
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| 1925 |
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| 1926 |
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"normalized": false,
|
| 1927 |
+
"rstrip": false,
|
| 1928 |
+
"single_word": false,
|
| 1929 |
+
"special": true
|
| 1930 |
+
},
|
| 1931 |
+
"128241": {
|
| 1932 |
+
"content": "<|reserved_special_token_233|>",
|
| 1933 |
+
"lstrip": false,
|
| 1934 |
+
"normalized": false,
|
| 1935 |
+
"rstrip": false,
|
| 1936 |
+
"single_word": false,
|
| 1937 |
+
"special": true
|
| 1938 |
+
},
|
| 1939 |
+
"128242": {
|
| 1940 |
+
"content": "<|reserved_special_token_234|>",
|
| 1941 |
+
"lstrip": false,
|
| 1942 |
+
"normalized": false,
|
| 1943 |
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"rstrip": false,
|
| 1944 |
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"single_word": false,
|
| 1945 |
+
"special": true
|
| 1946 |
+
},
|
| 1947 |
+
"128243": {
|
| 1948 |
+
"content": "<|reserved_special_token_235|>",
|
| 1949 |
+
"lstrip": false,
|
| 1950 |
+
"normalized": false,
|
| 1951 |
+
"rstrip": false,
|
| 1952 |
+
"single_word": false,
|
| 1953 |
+
"special": true
|
| 1954 |
+
},
|
| 1955 |
+
"128244": {
|
| 1956 |
+
"content": "<|reserved_special_token_236|>",
|
| 1957 |
+
"lstrip": false,
|
| 1958 |
+
"normalized": false,
|
| 1959 |
+
"rstrip": false,
|
| 1960 |
+
"single_word": false,
|
| 1961 |
+
"special": true
|
| 1962 |
+
},
|
| 1963 |
+
"128245": {
|
| 1964 |
+
"content": "<|reserved_special_token_237|>",
|
| 1965 |
+
"lstrip": false,
|
| 1966 |
+
"normalized": false,
|
| 1967 |
+
"rstrip": false,
|
| 1968 |
+
"single_word": false,
|
| 1969 |
+
"special": true
|
| 1970 |
+
},
|
| 1971 |
+
"128246": {
|
| 1972 |
+
"content": "<|reserved_special_token_238|>",
|
| 1973 |
+
"lstrip": false,
|
| 1974 |
+
"normalized": false,
|
| 1975 |
+
"rstrip": false,
|
| 1976 |
+
"single_word": false,
|
| 1977 |
+
"special": true
|
| 1978 |
+
},
|
| 1979 |
+
"128247": {
|
| 1980 |
+
"content": "<|reserved_special_token_239|>",
|
| 1981 |
+
"lstrip": false,
|
| 1982 |
+
"normalized": false,
|
| 1983 |
+
"rstrip": false,
|
| 1984 |
+
"single_word": false,
|
| 1985 |
+
"special": true
|
| 1986 |
+
},
|
| 1987 |
+
"128248": {
|
| 1988 |
+
"content": "<|reserved_special_token_240|>",
|
| 1989 |
+
"lstrip": false,
|
| 1990 |
+
"normalized": false,
|
| 1991 |
+
"rstrip": false,
|
| 1992 |
+
"single_word": false,
|
| 1993 |
+
"special": true
|
| 1994 |
+
},
|
| 1995 |
+
"128249": {
|
| 1996 |
+
"content": "<|reserved_special_token_241|>",
|
| 1997 |
+
"lstrip": false,
|
| 1998 |
+
"normalized": false,
|
| 1999 |
+
"rstrip": false,
|
| 2000 |
+
"single_word": false,
|
| 2001 |
+
"special": true
|
| 2002 |
+
},
|
| 2003 |
+
"128250": {
|
| 2004 |
+
"content": "<|reserved_special_token_242|>",
|
| 2005 |
+
"lstrip": false,
|
| 2006 |
+
"normalized": false,
|
| 2007 |
+
"rstrip": false,
|
| 2008 |
+
"single_word": false,
|
| 2009 |
+
"special": true
|
| 2010 |
+
},
|
| 2011 |
+
"128251": {
|
| 2012 |
+
"content": "<|reserved_special_token_243|>",
|
| 2013 |
+
"lstrip": false,
|
| 2014 |
+
"normalized": false,
|
| 2015 |
+
"rstrip": false,
|
| 2016 |
+
"single_word": false,
|
| 2017 |
+
"special": true
|
| 2018 |
+
},
|
| 2019 |
+
"128252": {
|
| 2020 |
+
"content": "<|reserved_special_token_244|>",
|
| 2021 |
+
"lstrip": false,
|
| 2022 |
+
"normalized": false,
|
| 2023 |
+
"rstrip": false,
|
| 2024 |
+
"single_word": false,
|
| 2025 |
+
"special": true
|
| 2026 |
+
},
|
| 2027 |
+
"128253": {
|
| 2028 |
+
"content": "<|reserved_special_token_245|>",
|
| 2029 |
+
"lstrip": false,
|
| 2030 |
+
"normalized": false,
|
| 2031 |
+
"rstrip": false,
|
| 2032 |
+
"single_word": false,
|
| 2033 |
+
"special": true
|
| 2034 |
+
},
|
| 2035 |
+
"128254": {
|
| 2036 |
+
"content": "<|reserved_special_token_246|>",
|
| 2037 |
+
"lstrip": false,
|
| 2038 |
+
"normalized": false,
|
| 2039 |
+
"rstrip": false,
|
| 2040 |
+
"single_word": false,
|
| 2041 |
+
"special": true
|
| 2042 |
+
},
|
| 2043 |
+
"128255": {
|
| 2044 |
+
"content": "<|reserved_special_token_247|>",
|
| 2045 |
+
"lstrip": false,
|
| 2046 |
+
"normalized": false,
|
| 2047 |
+
"rstrip": false,
|
| 2048 |
+
"single_word": false,
|
| 2049 |
+
"special": true
|
| 2050 |
+
}
|
| 2051 |
+
},
|
| 2052 |
+
"bos_token": "<|begin_of_text|>",
|
| 2053 |
+
"clean_up_tokenization_spaces": true,
|
| 2054 |
+
"eos_token": "<|eot_id|>",
|
| 2055 |
+
"extra_special_tokens": {},
|
| 2056 |
+
"model_input_names": [
|
| 2057 |
+
"input_ids",
|
| 2058 |
+
"attention_mask"
|
| 2059 |
+
],
|
| 2060 |
+
"model_max_length": 131072,
|
| 2061 |
+
"pad_token": "<|eot_id|>",
|
| 2062 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2063 |
+
}
|
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checkpoint-4000/checkpoint-4000/training_args.bin
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oid sha256:dfabdbe8b61dfe26b4b5c05e8510eb97f99d8c4b429e3fa7cb1e5ef220df22da
|
| 3 |
+
size 6225
|
checkpoint-4000/errors.jsonl
ADDED
|
@@ -0,0 +1,27 @@
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"sample_index": 0, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "#[derive(thiserror::Error, Debug)]\nenum Error {\n #[error(\"Failed to parse {0}\")]\n ParseError(String),\n #[error(\"Failed to convert {0}\")]\n ConversionError(String),\n #[error(\"IO error\")]\n IOError,\n #[error(\"Unexpected error: {0}\")]\n UnexpectedError(String),\n}\n\nfn parse_string_to_int(s: &str) -> Result<i32, Error> {\n s.parse().map_err(|e| Error::ParseError(e.to_string()))\n}\n\nfn main() {\n let int = \"123\".parse::<i32>().unwrap();\n let string = \"abc\".to_string();\n\n ", "error_type": "other", "compile_error": "error[E0282]: type annotations needed\n --> src/main.rs:14:24\n |\n14 | s.parse().map_err(|e| Error::ParseError(e.to_string()))\n | ^ - type must be known at this point\n |\nhelp: consider giving this closure parameter an explicit type\n |\n14 | s.parse().map_err(|e: /* Type */| Error::ParseError(e.to_string()))\n | ++++++++++++\n\nerror[E0282]: type annotations needed for `Result<_, Error>`\n --> src/main.rs:42:9\n |\n42 "}
|
| 2 |
+
{"sample_index": 2, "prompt": "Write only a single Rust source file (main.rs) with a `fn main() -> anyhow::Result<()>` that demonstrates basic anyhow error handling. Do not explain; output only Rust code wrapped in ```rust code blo", "code": "use anyhow::{anyhow, Result};\nuse std::convert::TryInto;\n\nfn main() -> anyhow::Result<()> {\n let result: Result<(), anyhow::Error> = Err(anyhow!(\"test\"));\n let result: Result<(), anyhow::Error> = Err(anyhow!(\"test\",));\n let result: Result<(), anyhow::Error> = Err(anyhow!(\"test\", \"test\", \"test\",));\n let result: Result<(), anyhow::Error> = Err(anyhow!(\"test\", \"test\", \"test\", \"test\",));\n let result: Result<(), anyhow::Error> = Err(anyhow!(\"test\", \"test\", \"test\", \"test\", \"test\",));\n ", "error_type": "other", "compile_error": "error: this file contains an unclosed delimiter\n --> src/main.rs:18:72\n |\n 4 | fn main() -> anyhow::Result<()> {\n | - unclosed delimiter\n...\n18 | let result: Result<(), anyhow::Error> = Err(anyhow!(\"test\", \"test\",\n | - - ^\n | | |\n | | unclosed delimiter\n | "}
|
| 3 |
+
{"sample_index": 3, "prompt": "Define a newtype wrapper for [u8; 32] and implement FromStr and Display. Provide a small `fn main()` that parses and prints it. Output only Rust code in ```rust code blocks.", "code": "use std::fmt;\nuse std::str::FromStr;\n\n#[derive(Debug, Clone, Copy)]\npub struct Hex32([u8; 32]);\n\nimpl FromStr for Hex32 {\n type Err = String;\n \n fn from_str(s: &str) -> Result<Self, Self::Err> {\n if s.len()!= 64 {\n return Err(\"Input must be 64 characters long\".to_owned());\n }\n\n let mut arr = [0u8; 32];\n for i in 0..32 {\n arr[i] = u8::from_str_radix(&s[i*2..i*2+2], 16)\n .map_err(|_| \"Failed to parse char\".to_owned())?;\n ", "error_type": "other", "compile_error": "error[E0765]: unterminated double quote string\n --> src/main.rs:34:31\n |\n34 | ...tr(\"0xdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbe...eefdeadbeefdeadbeefdeadbeef\n | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\nFor more information about this error, try `rustc --explain E0765`.\nerror: could not compile `app` (bin \"app\") due to 1 previous error\n"}
|
| 4 |
+
{"sample_index": 6, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "use thiserror::Error;\n\n#[derive(Debug, Error, thiserror::Error)]\nenum MyError {\n #[error(transparent)]\n FromErr(#[from] std::num::ParseIntError),\n #[error(\"no such key: {0}\")]\n NoSuchKey(&'static str),\n #[error(\"not found: {0}\")]\n NotFound(&'static str),\n #[error(\"unexpected error\")]\n Unexpected,\n}\n\nfn do_work() -> Result<(), MyError> {\n let v = String::from(\"123\");\n let num: i32 = v.parse()?;\n Ok(())\n}\n\nfn main() {\n match do_work() {\n Ok(_) => println!", "error_type": "other", "compile_error": "error[E0119]: conflicting implementations of trait `std::error::Error` for type `MyError`\n --> src/main.rs:3:24\n |\n3 | #[derive(Debug, Error, thiserror::Error)]\n | ----- ^^^^^^^^^^^^^^^^ conflicting implementation for `MyError`\n | |\n | first implementation here\n |\n = note: this error originates in the derive macro `thiserror::Error` (in Nightly builds, run with -Z macro-backtrace for more info)\n\nerror[E0119]: conflicting implementations of t"}
|
| 5 |
+
{"sample_index": 7, "prompt": "Define a newtype wrapper for [u8; 32] and implement FromStr and Display. Provide a small `fn main()` that parses and prints it. Output only Rust code in ```rust code blocks.", "code": "#[derive(Debug)]\nstruct U32Array([u8; 32]);\n\nimpl FromStr for U32Array {\n type Err = std::num::ParseIntError;\n\n fn from_str(s: &str) -> Result<Self, Self::Err> {\n let mut u32_array = [0u8; 32];\n for (i, c) in s.bytes().enumerate() {\n u32_array[i] = c;\n }\n Ok(U32Array(u32_array))\n }\n}\n\nimpl std::fmt::Display for U32Array {\n fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {\n for i in 0..32 {\n write!(f, \"{}\", se", "error_type": "undefined_variable", "compile_error": "error[E0405]: cannot find trait `FromStr` in this scope\n --> src/main.rs:4:6\n |\n4 | impl FromStr for U32Array {\n | ^^^^^^^ not found in this scope\n |\nhelp: consider importing this trait\n |\n1 + use std::str::FromStr;\n |\n\nFor more information about this error, try `rustc --explain E0405`.\nerror: could not compile `app` (bin \"app\") due to 1 previous error\n"}
|
| 6 |
+
{"sample_index": 9, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "use thiserror::Error;\n\n#[derive(Debug, Error)]\n#[error(\"error: {source}\")]\nenum MyError {\n #[error(\"cannot open file: {0}\")]\n CannotOpen(String),\n #[error(\"not found: {0}\")]\n NotFound(String),\n #[error(\"unimplemented: {0}\")]\n Unimplemented(String),\n}\n\nfn main() -> Result<(), MyError> {\n let file = File::open(\"file.txt\")?;\n Ok(())\n}\n\nfn File::open(path: &str) -> Result<File, MyError> {\n if path == \"file.txt\" {\n Ok(File {})\n } else {\n Err(MyError::NotFou", "error_type": "type_mismatch", "compile_error": "error: invalid path separator in function definition\n --> src/main.rs:19:8\n |\n19 | fn File::open(path: &str) -> Result<File, MyError> {\n | ^^\n |\nhelp: remove invalid path separator\n |\n19 - fn File::open(path: &str) -> Result<File, MyError> {\n19 + fn Fileopen(path: &str) -> Result<File, MyError> {\n |\n\nerror: missing parameters for function definition\n --> src/main.rs:19:10\n |\n19 | fn File::open(path: &str) -> Result<File, MyError> {\n | ^\n |\nhelp: add a parameter "}
|
| 7 |
+
{"sample_index": 12, "prompt": "Define a newtype wrapper for [u8; 32] and implement FromStr and Display. Provide a small `fn main()` that parses and prints it. Output only Rust code in ```rust code blocks.", "code": "use std::str::FromStr;\n\n#[derive(Debug)]\nstruct U32Array([u8; 32]);\n\nimpl FromStr for U32Array {\n type Err = String;\n\n fn from_str(s: &str) -> Result<Self, Self::Err> {\n let mut bytes = [0u8; 32];\n if s.len() == 32 {\n bytes.copy_from_slice(&hex::decode(s).map_err(|err| format!(\"Invalid hex string: {}\", err))?);\n Ok(U32Array(bytes))\n } else {\n Err(\"Invalid length\".to_string())\n }\n }\n}\n\nimpl std::fmt::Display for U32Array {\n ", "error_type": "other", "compile_error": "error[E0765]: unterminated double quote string\n --> src/main.rs:28:13\n |\n28 | ... = \"fffefffefffefffefffefffefffefffefffefffefffeff...ffefffefffefffefffefffefffefffefffefffefffeff\n | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\nFor more information about this error, try `rustc --explain E0765`.\nerror: could not compile `app` (bin \"app\") due to 1 previous error\n"}
|
| 8 |
+
{"sample_index": 14, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "use std::fmt;\n\n#[derive(Debug, thiserror)]\npub enum MyError {\n Other,\n ParseError,\n IoError,\n}\n\n#[derive(Debug)]\npub struct MyErrorSource {\n msg: String,\n}\n\nimpl fmt::Display for MyErrorSource {\n fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {\n write!(f, \"{}\", self.msg)\n }\n}\n\nfn main() {\n let source = MyErrorSource {\n msg: \"Some error\".to_string(),\n };\n match source {\n MyErrorSource { msg } => {\n match MyError::Other {\n ", "error_type": "undefined_variable", "compile_error": "error: struct literals are not allowed here\n --> src/main.rs:27:19\n |\n27 | match MyError::Other {\n | ___________________^\n28 | | msg: _,\n29 | | };\n | |_____________^\n |\nhelp: surround the struct literal with parentheses\n |\n27 ~ match (MyError::Other {\n28 | msg: _,\n29 ~ });\n |\n\nerror: expected one of `.`, `?`, `{`, or an operator, found `;`\n --> src/main.rs:29:14\n |\n27 | match MyError::O"}
|
| 9 |
+
{"sample_index": 15, "prompt": "Write only a single Rust source file (main.rs) with a `fn main() -> anyhow::Result<()>` that demonstrates basic anyhow error handling. Do not explain; output only Rust code wrapped in ```rust code blo", "code": "use anyhow::{Context, Result};\n\nfn main() -> Result<()> {\n let result: Result<u32> = \"1\".parse::<u32>().context(\"parsing error\");\n let result = result.context(\"parsing error\");\n\n let result = result.and_then(|x| x.checked_add(1)).context(\"overflow\");\n\n let result = result.and_then(|x| x.checked_mul(2)).context(\"overflow\");\n\n Ok(())\n}", "error_type": "type_mismatch", "compile_error": "error[E0308]: mismatched types\n --> src/main.rs:7:38\n |\n7 | let result = result.and_then(|x| x.checked_add(1)).context(\"overflow\");\n | ^^^^^^^^^^^^^^^^ expected `Result<_, Error>`, found `Option<u32>`\n |\n = note: expected enum `Result<_, anyhow::Error>`\n found enum `Option<u32>`\nhelp: try wrapping the expression in `Ok`\n |\n7 | let result = result.and_then(|x| Ok(x.checked_add(1))).context(\"overflow\");\n | "}
|
| 10 |
+
{"sample_index": 19, "prompt": "Define a newtype wrapper for [u8; 32] and implement FromStr and Display. Provide a small `fn main()` that parses and prints it. Output only Rust code in ```rust code blocks.", "code": "use std::fmt;\n\n#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]\nstruct BitArray([u8; 32]);\n\nimpl BitArray {\n fn new() -> Self {\n Self([0u8; 32])\n }\n\n fn to_u32(&self) -> u32 {\n let mut result = 0;\n for i in 0..32 {\n result |= (self.0[i] as u32) << i;\n }\n result\n }\n}\n\nimpl fmt::Display for BitArray {\n fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {\n write!(f, \"{:032b}\", self.to_u32())\n }\n}\n\nimpl FromStr for BitArray {", "error_type": "undefined_variable", "compile_error": "error[E0405]: cannot find trait `FromStr` in this scope\n --> src/main.rs:26:6\n |\n26 | impl FromStr for BitArray {\n | ^^^^^^^ not found in this scope\n |\nhelp: consider importing this trait\n |\n 1 + use std::str::FromStr;\n |\n\nFor more information about this error, try `rustc --explain E0405`.\nerror: could not compile `app` (bin \"app\") due to 1 previous error\n"}
|
| 11 |
+
{"sample_index": 24, "prompt": "Write only Rust code for a program that uses iterators with map/filter to compute a sum. Include `fn main()` and necessary imports. No explanations. Wrap code in ```rust code blocks.", "code": "fn main() {\n let numbers: Vec<i32> = vec![1, 2, 3, 4, 5, 6, 7, 8, 9, 10];\n let sum = numbers.iter()\n .filter(|&n| n % 2 == 0)\n .map(|n| n * n)\n .sum();\n println!(\"{}\", sum);\n}", "error_type": "other", "compile_error": "error[E0283]: type annotations needed\n --> src/main.rs:3:9\n |\n3 | let sum = numbers.iter()\n | ^^^\n...\n6 | .sum();\n | --- type must be known at this point\n |\n = note: cannot satisfy `_: Sum<i32>`\n = help: the following types implement trait `Sum<A>`:\n `Duration` implements `Sum<&'a Duration>`\n `Duration` implements `Sum`\n `Option<T>` implements `Sum<Option<U>>`\n `Result<T, E>` implements `Sum<Result<U, E>>`\n `"}
|
| 12 |
+
{"sample_index": 26, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "#[derive(thiserror::Error, Debug)]\nenum MyError {\n #[error(transparent)]\n Other(#[from] std::num::ParseIntError),\n}\n\nimpl std::fmt::Display for MyError {\n fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {\n std::fmt::Debug::fmt(self, f)\n }\n}\n\nfn main() {\n let result: Result<i32, MyError> = \"0x100\".parse().map_err(MyError::Other);\n match result {\n Ok(value) => println!(\"Parsed value: {}\", value),\n Err(e) => println!(\"Error: {}\", e),\n }\n}", "error_type": "other", "compile_error": "error[E0119]: conflicting implementations of trait `std::fmt::Display` for type `MyError`\n --> src/main.rs:1:10\n |\n1 | #[derive(thiserror::Error, Debug)]\n | ^^^^^^^^^^^^^^^^ conflicting implementation for `MyError`\n...\n7 | impl std::fmt::Display for MyError {\n | ---------------------------------- first implementation here\n |\n = note: this error originates in the derive macro `thiserror::Error` (in Nightly builds, run with -Z macro-backtrace for more info)\n\nFor more information abou"}
|
| 13 |
+
{"sample_index": 27, "prompt": "Write only a single Rust source file (main.rs) with a `fn main() -> anyhow::Result<()>` that demonstrates basic anyhow error handling. Do not explain; output only Rust code wrapped in ```rust code blo", "code": "use anyhow::{bail, Context, Result};\n\nfn main() -> Result<()> {\n let err = \"Error\".to_string();\n let err2 = \"Another error\".to_string();\n let res = \"Result\".to_string();\n\n match 1 + 1 {\n 1 => bail!(err),\n _ => Ok(()),\n }?;\n\n Ok(())\n}", "error_type": "other", "compile_error": "warning: unused import: `Context`\n --> src/main.rs:1:20\n |\n1 | use anyhow::{bail, Context, Result};\n | ^^^^^^^\n |\n = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default\n\nerror[E0282]: type annotations needed\n --> src/main.rs:10:14\n |\n10 | _ => Ok(()),\n | ^^ cannot infer type of the type parameter `E` declared on the enum `Result`\n |\nhelp: consider specifying the generic arguments\n |\n10 | _ => Ok::<(), E>(()),\n |"}
|
| 14 |
+
{"sample_index": 28, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "use std::io;\n\n#[derive(thiserror::Error, Debug, PartialEq)]\nenum MyError {\n #[error(\"not a number\")]\n InvalidInput,\n #[error(\"io error: {source}\")]\n Io(#[from] io::Error),\n}\n\nfn main() -> Result<(), MyError> {\n let x = \"hello\";\n let y = \"world\";\n let z = 42;\n let t = 13;\n\n let result = try {\n x.parse::<i32>().map_err(MyError::InvalidInput)?;\n y.parse::<i32>().map_err(MyError::InvalidInput)?;\n z + t\n };\n Ok(())\n}", "error_type": "undefined_variable", "compile_error": "error[E0425]: cannot find value `source` in this scope\n --> src/main.rs:7:13\n |\n7 | #[error(\"io error: {source}\")]\n | ^^^^^^^^^^^^^^^^^^^^ not found in this scope\n\nerror[E0658]: `try` expression is experimental\n --> src/main.rs:17:18\n |\n17 | let result = try {\n | __________________^\n18 | | x.parse::<i32>().map_err(MyError::InvalidInput)?;\n19 | | y.parse::<i32>().map_err(MyError::InvalidInput)?;\n20 | | z + t\n21 | | };\n | |_____^\n |\n "}
|
| 15 |
+
{"sample_index": 31, "prompt": "Define a newtype wrapper for [u8; 32] and implement FromStr and Display. Provide a small `fn main()` that parses and prints it. Output only Rust code in ```rust code blocks.", "code": "use std::fmt;\n\n#[derive(Debug)]\nstruct U32Array([u8; 32]);\n\nimpl fmt::Display for U32Array {\n fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {\n for (i, byte) in self.0.iter().enumerate() {\n if i % 8 == 0 {\n write!(f, \"0x\")?;\n }\n write!(f, \"{:02X}\", byte)\n }\n Ok(())\n }\n}\n\nimpl FromStr for U32Array {\n type Err = String;\n\n fn from_str(s: &str) -> Result<Self, Self::Err> {\n if s.len()!= 32 {\n ", "error_type": "undefined_variable", "compile_error": "error[E0405]: cannot find trait `FromStr` in this scope\n --> src/main.rs:18:6\n |\n18 | impl FromStr for U32Array {\n | ^^^^^^^ not found in this scope\n |\nhelp: consider importing this trait\n |\n 1 + use std::str::FromStr;\n |\n\nFor more information about this error, try `rustc --explain E0405`.\nerror: could not compile `app` (bin \"app\") due to 1 previous error\n"}
|
| 16 |
+
{"sample_index": 34, "prompt": "Create a Rust program with a struct, an impl block, and a trait implementation. Include `fn main()` to demonstrate usage. Output only code in ```rust code blocks.", "code": "struct Point {\n x: i32,\n y: i32,\n}\n\nimpl Point {\n fn new(x: i32, y: i32) -> Point {\n Point { x, y }\n }\n\n fn distance_from_origin(&self) -> f64 {\n (self.x.pow(2) + self.y.pow(2)) as f64\n .sqrt()\n }\n}\n\ntrait HasArea {\n fn area(&self) -> f64;\n}\n\nimpl HasArea for Point {\n fn area(&self) -> f64 {\n 0.0\n }\n}\n\nfn main() {\n let origin = Point::new(0, 0);\n let other = Point::new(3, 4);\n\n println!(\"Origin is {} units away from the origin\", ", "error_type": "other", "compile_error": "error: cast cannot be followed by a method call\n --> src/main.rs:12:9\n |\n12 | (self.x.pow(2) + self.y.pow(2)) as f64\n | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n |\nhelp: try surrounding the expression in parentheses\n |\n12 | ((self.x.pow(2) + self.y.pow(2)) as f64)\n | + +\n\nerror: could not compile `app` (bin \"app\") due to 1 previous error\n"}
|
| 17 |
+
{"sample_index": 36, "prompt": "Write a complete Rust program with `fn main()` that demonstrates pattern matching with `match` and `if let`. Include necessary imports. Output only code in ```rust code blocks.", "code": "fn main() {\n let numbers = vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9];\n\n let mut count = 0;\n for n in numbers {\n if let Some(n) = n.checked_add(10) {\n count += 1;\n }\n }\n println!(\"Count: {}\", count);\n\n let mut count = 0;\n for n in numbers {\n if let Some(n) = n.checked_add(10) {\n count += 1;\n } else {\n break;\n }\n }\n println!(\"Count: {}\", count);\n\n let mut count = 0;\n for n in numbers {\n match n.che", "error_type": "other", "compile_error": "error[E0689]: can't call method `checked_add` on ambiguous numeric type `{integer}`\n --> src/main.rs:6:28\n |\n5 | for n in numbers {\n | - you must specify a type for this binding, like `i32`\n6 | if let Some(n) = n.checked_add(10) {\n | ^^^^^^^^^^^\n\nerror[E0689]: can't call method `checked_add` on ambiguous numeric type `{integer}`\n --> src/main.rs:14:28\n |\n13 | for n in numbers {\n | - you must specify a type for this binding, like "}
|
| 18 |
+
{"sample_index": 37, "prompt": "Write only Rust code for a program that uses iterators with map/filter to compute a sum. Include `fn main()` and necessary imports. No explanations. Wrap code in ```rust code blocks.", "code": "fn main() {\n let v = vec![1, 2, 3, 4, 5, 6, 7, 8, 9, 10];\n let res = v.iter().filter(|&x| x % 2 == 0).map(|x| x * x).sum();\n println!(\"{}\", res);\n}", "error_type": "other", "compile_error": "error[E0283]: type annotations needed\n --> src/main.rs:3:9\n |\n3 | let res = v.iter().filter(|&x| x % 2 == 0).map(|x| x * x).sum();\n | ^^^ --- type must be known at this point\n |\n = note: cannot satisfy `_: Sum<i32>`\n = help: the following types implement trait `Sum<A>`:\n `Duration` implements `Sum<&'a Duration>`\n `Duration` implements `Sum`\n `Option<T>` implements `Sum<Option<U>>`\n `Res"}
|
| 19 |
+
{"sample_index": 39, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "#[derive(thiserror::Error, Debug)]\nenum Error {\n #[error(transparent)]\n IoError(#[from] std::io::Error),\n #[error(transparent)]\n SerdeJsonError(#[from] serde_json::Error),\n}\n\nfn do_it() -> Result<(), Error> {\n let json = r#\"\n {\n \"key\": \"value\"\n }\n \"#;\n\n let json: serde_json::Value = serde_json::from_str(json)?;\n\n Ok(())\n}\n\nfn main() {\n if let Err(e) = do_it() {\n eprintln!(\"Error: {}\", e);\n }\n}", "error_type": "other", "compile_error": "error[E0433]: failed to resolve: use of unresolved module or unlinked crate `serde_json`\n --> src/main.rs:16:35\n |\n16 | let json: serde_json::Value = serde_json::from_str(json)?;\n | ^^^^^^^^^^ use of unresolved module or unlinked crate `serde_json`\n |\n = help: if you wanted to use a crate named `serde_json`, use `cargo add serde_json` to add it to your `Cargo.toml`\n\nerror[E0433]: failed to resolve: use of unresolved module or unlinked crate `serde_j"}
|
| 20 |
+
{"sample_index": 40, "prompt": "Define a newtype wrapper for [u8; 32] and implement FromStr and Display. Provide a small `fn main()` that parses and prints it. Output only Rust code in ```rust code blocks.", "code": "#[derive(Debug)]\npub struct HexString([u8; 32]);\n\nimpl std::str::FromStr for HexString {\n type Err = std::num::ParseIntError;\n\n fn from_str(s: &str) -> Result<Self, Self::Err> {\n if s.len()!= 64 {\n return Err(std::num::ParseIntError);\n }\n\n let mut bytes = [0; 32];\n\n for (i, ch) in s.chars().enumerate() {\n match ch.to_ascii_uppercase().to_digit(16) {\n Some(d) => {\n bytes[i / 2] |= d as u8 << (8 * (i % 2));\n ", "error_type": "type_mismatch", "compile_error": "error: `<<` is interpreted as a start of generic arguments for `u8`, not a shift\n --> src/main.rs:17:45\n |\n17 | bytes[i / 2] |= d as u8 << (8 * (i % 2));\n | ^^ -- interpreted as generic arguments\n | |\n | not interpreted as shift\n |\nhelp: try shifting the cast value\n |\n17 | bytes[i / 2] |= (d as u8) << (8 * (i % 2)"}
|
| 21 |
+
{"sample_index": 42, "prompt": "Write a complete Rust program with `fn main()` that demonstrates pattern matching with `match` and `if let`. Include necessary imports. Output only code in ```rust code blocks.", "code": "use std::io;\n\nfn main() {\n let input = \"foo\";\n let input2 = \"bar\";\n\n let x = 5;\n let y = 10;\n\n let option = Some(10);\n\n // match\n match input {\n \"foo\" => println!(\"foo\"),\n \"bar\" => println!(\"bar\"),\n _ => println!(\"other\"),\n };\n\n // if let\n if let Some(value) = option {\n println!(\"{}\", value);\n }\n\n // nested\n match x {\n 0 => println!(\"x is 0\"),\n 1 | 2 => println!(\"x is 1 or 2\"),\n _ => println!(\"x is neither 0 ", "error_type": "other", "compile_error": "error: this file contains an unclosed delimiter\n --> src/main.rs:78:15\n |\n 3 | fn main() {\n | - unclosed delimiter\n...\n78 | let x = 5;\n | ^\n\nerror: could not compile `app` (bin \"app\") due to 1 previous error\n"}
|
| 22 |
+
{"sample_index": 47, "prompt": "Define a newtype wrapper for [u8; 32] and implement FromStr and Display. Provide a small `fn main()` that parses and prints it. Output only Rust code in ```rust code blocks.", "code": "#[derive(Debug, Clone, PartialEq, Eq)]\nstruct Uint32([u8; 32]);\n\nimpl FromStr for Uint32 {\n type Err = &'static str;\n fn from_str(s: &str) -> Result<Self, Self::Err> {\n if s.len()!= 64 {\n return Err(\"invalid length\");\n }\n\n let mut bytes = [0; 32];\n for (i, c) in s.bytes().enumerate() {\n if i >= 32 {\n return Err(\"invalid length\");\n }\n bytes[i] = c - b'0';\n }\n Ok(Uint32(bytes))\n }\n}\n\nimpl ", "error_type": "undefined_variable", "compile_error": "error[E0405]: cannot find trait `FromStr` in this scope\n --> src/main.rs:4:6\n |\n4 | impl FromStr for Uint32 {\n | ^^^^^^^ not found in this scope\n |\nhelp: consider importing this trait\n |\n1 + use std::str::FromStr;\n |\n\nerror[E0405]: cannot find trait `Display` in this scope\n --> src/main.rs:22:6\n |\n22 | impl Display for Uint32 {\n | ^^^^^^^ not found in this scope\n |\nhelp: consider importing this trait\n |\n 1 + use std::fmt::Display;\n |\n\nFor more information about this err"}
|
| 23 |
+
{"sample_index": 50, "prompt": "Define a newtype wrapper for [u8; 32] and implement FromStr and Display. Provide a small `fn main()` that parses and prints it. Output only Rust code in ```rust code blocks.", "code": "#[derive(Debug)]\nstruct U32Slice([u8; 32]);\n\nimpl FromStr for U32Slice {\n type Err = String;\n fn from_str(s: &str) -> Result<U32Slice, Self::Err> {\n if s.len()!= 32 {\n Err(\"Length must be 32\".to_string())\n } else {\n let mut b = [0u8; 32];\n for (i, c) in s.chars().enumerate() {\n b[i] = c as u8;\n }\n Ok(U32Slice(b))\n }\n }\n}\n\nimpl std::fmt::Display for U32Slice {\n fn fmt(&self, f: &mut std::fmt::Fo", "error_type": "undefined_variable", "compile_error": "error[E0405]: cannot find trait `FromStr` in this scope\n --> src/main.rs:4:6\n |\n4 | impl FromStr for U32Slice {\n | ^^^^^^^ not found in this scope\n |\nhelp: consider importing this trait\n |\n1 + use std::str::FromStr;\n |\n\nFor more information about this error, try `rustc --explain E0405`.\nerror: could not compile `app` (bin \"app\") due to 1 previous error\n"}
|
| 24 |
+
{"sample_index": 52, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "use std::error::Error;\n\n#[derive(thiserror::Error, Debug)]\nenum Error {\n #[error(\"invalid input: {0}\")]\n InvalidInput(&'static str),\n\n #[error(\"other error: {0}\")]\n Other(&'static str),\n}\n\nfn do_work() -> Result<(), Error> {\n let s = \"test\";\n if s.len() == 0 {\n return Err(Error::InvalidInput(\"empty string\"));\n }\n Ok(())\n}\n\nfn main() {\n match do_work() {\n Ok(_) => println!(\"done\"),\n Err(e) => println!(\"error: {}\", e),\n }\n}", "error_type": "type_mismatch", "compile_error": "error[E0255]: the name `Error` is defined multiple times\n --> src/main.rs:4:1\n |\n1 | use std::error::Error;\n | ----------------- previous import of the trait `Error` here\n...\n4 | enum Error {\n | ^^^^^^^^^^ `Error` redefined here\n |\n = note: `Error` must be defined only once in the type namespace of this module\nhelp: you can use `as` to change the binding name of the import\n |\n1 | use std::error::Error as OtherError;\n | +++++++++++++\n\nerror[E0782]: expected a type"}
|
| 25 |
+
{"sample_index": 53, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "#[derive(thiserror::Error, Debug)]\npub enum MyError {\n /// The requested value is not found\n NotAvailable,\n /// An invalid value was provided\n Invalid(String),\n /// Something else went wrong\n Other,\n}\n\nfn get_value() -> Result<u8, MyError> {\n Err(MyError::NotAvailable)\n}\n\nfn main() {\n match get_value() {\n Ok(value) => println!(\"value: {}\", value),\n Err(err) => println!(\"error: {}\", err),\n }\n}", "error_type": "trait_error", "compile_error": "error[E0277]: `MyError` doesn't implement `std::fmt::Display`\n --> src/main.rs:2:10\n |\n2 | pub enum MyError {\n | ^^^^^^^ unsatisfied trait bound\n |\nhelp: the trait `std::fmt::Display` is not implemented for `MyError`\n --> src/main.rs:2:1\n |\n2 | pub enum MyError {\n | ^^^^^^^^^^^^^^^^\nnote: required by a bound in `std::error::Error`\n --> /rustc/ed61e7d7e242494fb7057f2657300d9e77bb4fcb/library/core/src/error.rs:53:1\n\nerror[E0277]: `MyError` doesn't implement `std::fmt::Display`\n --> "}
|
| 26 |
+
{"sample_index": 55, "prompt": "Write a complete Rust program with `fn main()` that demonstrates pattern matching with `match` and `if let`. Include necessary imports. Output only code in ```rust code blocks.", "code": "use std::collections::HashMap;\n\nfn main() {\n let s = \"hello world\";\n\n // Match statement\n match s {\n \"hello\" => println!(\"Hello\"),\n \"world\" => println!(\"World\"),\n _ => println!(\"Unknown\"),\n }\n\n // if let statement\n if let Some(s) = s.split_whitespace().next() {\n println!(\"First word: {}\", s);\n } else {\n println!(\"No words\");\n }\n\n // if let statement with a tuple\n if let (Some(a), Some(b)) = (s.split_whitespace().next(), s.split_whi", "error_type": "other", "compile_error": "error[E0765]: unterminated double quote string\n --> src/main.rs:64:29\n |\n64 | Some(_) => println!(\"Found\n | ^^^^^^\n\nFor more information about this error, try `rustc --explain E0765`.\nerror: could not compile `app` (bin \"app\") due to 1 previous error\n"}
|
| 27 |
+
{"sample_index": 61, "prompt": "Create a small example showing a thiserror enum, Display, a source cause, and a function using the ? operator. Include `fn main()` to drive it. Output only Rust code wrapped in ```rust code blocks.", "code": "use thiserror::Error;\n\n#[derive(Debug, thiserror)]\nenum MyError {\n /// Error from the standard library\n Io(std::io::Error),\n\n /// A custom error\n Custom(String),\n}\n\nimpl std::fmt::Display for MyError {\n fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {\n match self {\n Self::Io(e) => e.fmt(f),\n Self::Custom(e) => e.fmt(f),\n }\n }\n}\n\nfn main() -> Result<(), MyError> {\n let filename = \"nonexistent_file.txt\";\n\n // Attempt t", "error_type": "undefined_variable", "compile_error": "error: cannot find derive macro `thiserror` in this scope\n --> src/main.rs:3:17\n |\n3 | #[derive(Debug, thiserror)]\n | ^^^^^^^^^\n |\n = note: `thiserror` is in scope, but it is a crate, not a derive macro\n\nwarning: unused import: `thiserror::Error`\n --> src/main.rs:1:5\n |\n1 | use thiserror::Error;\n | ^^^^^^^^^^^^^^^^\n |\n = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default\n\nerror[E0277]: `?` couldn't convert the error to `MyError`\n --> src/main.r"}
|
checkpoint-4000/metrics.jsonl
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
{"compile_rate": 0.5714285714285714, "avg_clippy_warnings": 0.0, "doc_comment_rate": 0.031746031746031744, "avg_doc_comments": 0.07936507936507936, "avg_idiomatic_score": 0.25793650793650796, "total_samples": 64, "filtered_samples": 1, "evaluated_samples": 63, "error_types": {"other": 14, "undefined_variable": 8, "type_mismatch": 4, "trait_error": 1}, "filter_reasons": {"no_main": 1}, "avg_functions": 2.2063492063492065, "avg_structs": 0.4444444444444444, "avg_impls": 0.6825396825396826, "avg_traits": 0.2698412698412698, "test_rate": 0.0, "avg_prompt_match": 0.1306352324157707, "seed": 0, "timestamp": "2025-11-19T19:37:47.190391"}
|
checkpoint-4000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:73a499198a27553853d237f2e9beaa0f6d1f5e059c35ee8557df189c8f640d2e
|
| 3 |
+
size 85729445
|
checkpoint-4000/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e2c824a76bc2a184f5dffaca792ea374a9d53c591ab07bf128be56e73d54a88d
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| 3 |
+
size 15429
|
checkpoint-4000/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:4b7d31c5fc8da7a3651d0f39d0e6b6597ad93a14aab484f66ba9d8e16f9f68a8
|
| 3 |
+
size 15429
|
checkpoint-4000/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e8566b9b4e94c81ba4e5ef62d02263ef8c908fe4dbcd9f1bf64a0a4fa726af8d
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| 3 |
+
size 15429
|
checkpoint-4000/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f6f1bf30996ba2f3763598405be7ef2caa4ef349d42ce4b3e3dbfdcce4458544
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| 3 |
+
size 15429
|
checkpoint-4000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:feb85219c34785ec8cb7c739d1c2d7921efee4dbad9ff8499ab412934f79f7de
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| 3 |
+
size 1465
|
checkpoint-4000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,17 @@
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+
{
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| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin_of_text|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|eot_id|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|eot_id|>"
|
| 17 |
+
}
|
checkpoint-4000/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
| 3 |
+
size 17209920
|
checkpoint-4000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,2063 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"128000": {
|
| 4 |
+
"content": "<|begin_of_text|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"128001": {
|
| 12 |
+
"content": "<|end_of_text|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"128002": {
|
| 20 |
+
"content": "<|reserved_special_token_0|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"128003": {
|
| 28 |
+
"content": "<|reserved_special_token_1|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128004": {
|
| 36 |
+
"content": "<|finetune_right_pad_id|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"128005": {
|
| 44 |
+
"content": "<|reserved_special_token_2|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"128006": {
|
| 52 |
+
"content": "<|start_header_id|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"128007": {
|
| 60 |
+
"content": "<|end_header_id|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"128008": {
|
| 68 |
+
"content": "<|eom_id|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"128009": {
|
| 76 |
+
"content": "<|eot_id|>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"128010": {
|
| 84 |
+
"content": "<|python_tag|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"128011": {
|
| 92 |
+
"content": "<|reserved_special_token_3|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"128012": {
|
| 100 |
+
"content": "<|reserved_special_token_4|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"128013": {
|
| 108 |
+
"content": "<|reserved_special_token_5|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"128014": {
|
| 116 |
+
"content": "<|reserved_special_token_6|>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"128015": {
|
| 124 |
+
"content": "<|reserved_special_token_7|>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"128016": {
|
| 132 |
+
"content": "<|reserved_special_token_8|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"128017": {
|
| 140 |
+
"content": "<|reserved_special_token_9|>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"128018": {
|
| 148 |
+
"content": "<|reserved_special_token_10|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"128019": {
|
| 156 |
+
"content": "<|reserved_special_token_11|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"128020": {
|
| 164 |
+
"content": "<|reserved_special_token_12|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"128021": {
|
| 172 |
+
"content": "<|reserved_special_token_13|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"128022": {
|
| 180 |
+
"content": "<|reserved_special_token_14|>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"128023": {
|
| 188 |
+
"content": "<|reserved_special_token_15|>",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
+
"128024": {
|
| 196 |
+
"content": "<|reserved_special_token_16|>",
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"normalized": false,
|
| 199 |
+
"rstrip": false,
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"special": true
|
| 202 |
+
},
|
| 203 |
+
"128025": {
|
| 204 |
+
"content": "<|reserved_special_token_17|>",
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"normalized": false,
|
| 207 |
+
"rstrip": false,
|
| 208 |
+
"single_word": false,
|
| 209 |
+
"special": true
|
| 210 |
+
},
|
| 211 |
+
"128026": {
|
| 212 |
+
"content": "<|reserved_special_token_18|>",
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"normalized": false,
|
| 215 |
+
"rstrip": false,
|
| 216 |
+
"single_word": false,
|
| 217 |
+
"special": true
|
| 218 |
+
},
|
| 219 |
+
"128027": {
|
| 220 |
+
"content": "<|reserved_special_token_19|>",
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"normalized": false,
|
| 223 |
+
"rstrip": false,
|
| 224 |
+
"single_word": false,
|
| 225 |
+
"special": true
|
| 226 |
+
},
|
| 227 |
+
"128028": {
|
| 228 |
+
"content": "<|reserved_special_token_20|>",
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"normalized": false,
|
| 231 |
+
"rstrip": false,
|
| 232 |
+
"single_word": false,
|
| 233 |
+
"special": true
|
| 234 |
+
},
|
| 235 |
+
"128029": {
|
| 236 |
+
"content": "<|reserved_special_token_21|>",
|
| 237 |
+
"lstrip": false,
|
| 238 |
+
"normalized": false,
|
| 239 |
+
"rstrip": false,
|
| 240 |
+
"single_word": false,
|
| 241 |
+
"special": true
|
| 242 |
+
},
|
| 243 |
+
"128030": {
|
| 244 |
+
"content": "<|reserved_special_token_22|>",
|
| 245 |
+
"lstrip": false,
|
| 246 |
+
"normalized": false,
|
| 247 |
+
"rstrip": false,
|
| 248 |
+
"single_word": false,
|
| 249 |
+
"special": true
|
| 250 |
+
},
|
| 251 |
+
"128031": {
|
| 252 |
+
"content": "<|reserved_special_token_23|>",
|
| 253 |
+
"lstrip": false,
|
| 254 |
+
"normalized": false,
|
| 255 |
+
"rstrip": false,
|
| 256 |
+
"single_word": false,
|
| 257 |
+
"special": true
|
| 258 |
+
},
|
| 259 |
+
"128032": {
|
| 260 |
+
"content": "<|reserved_special_token_24|>",
|
| 261 |
+
"lstrip": false,
|
| 262 |
+
"normalized": false,
|
| 263 |
+
"rstrip": false,
|
| 264 |
+
"single_word": false,
|
| 265 |
+
"special": true
|
| 266 |
+
},
|
| 267 |
+
"128033": {
|
| 268 |
+
"content": "<|reserved_special_token_25|>",
|
| 269 |
+
"lstrip": false,
|
| 270 |
+
"normalized": false,
|
| 271 |
+
"rstrip": false,
|
| 272 |
+
"single_word": false,
|
| 273 |
+
"special": true
|
| 274 |
+
},
|
| 275 |
+
"128034": {
|
| 276 |
+
"content": "<|reserved_special_token_26|>",
|
| 277 |
+
"lstrip": false,
|
| 278 |
+
"normalized": false,
|
| 279 |
+
"rstrip": false,
|
| 280 |
+
"single_word": false,
|
| 281 |
+
"special": true
|
| 282 |
+
},
|
| 283 |
+
"128035": {
|
| 284 |
+
"content": "<|reserved_special_token_27|>",
|
| 285 |
+
"lstrip": false,
|
| 286 |
+
"normalized": false,
|
| 287 |
+
"rstrip": false,
|
| 288 |
+
"single_word": false,
|
| 289 |
+
"special": true
|
| 290 |
+
},
|
| 291 |
+
"128036": {
|
| 292 |
+
"content": "<|reserved_special_token_28|>",
|
| 293 |
+
"lstrip": false,
|
| 294 |
+
"normalized": false,
|
| 295 |
+
"rstrip": false,
|
| 296 |
+
"single_word": false,
|
| 297 |
+
"special": true
|
| 298 |
+
},
|
| 299 |
+
"128037": {
|
| 300 |
+
"content": "<|reserved_special_token_29|>",
|
| 301 |
+
"lstrip": false,
|
| 302 |
+
"normalized": false,
|
| 303 |
+
"rstrip": false,
|
| 304 |
+
"single_word": false,
|
| 305 |
+
"special": true
|
| 306 |
+
},
|
| 307 |
+
"128038": {
|
| 308 |
+
"content": "<|reserved_special_token_30|>",
|
| 309 |
+
"lstrip": false,
|
| 310 |
+
"normalized": false,
|
| 311 |
+
"rstrip": false,
|
| 312 |
+
"single_word": false,
|
| 313 |
+
"special": true
|
| 314 |
+
},
|
| 315 |
+
"128039": {
|
| 316 |
+
"content": "<|reserved_special_token_31|>",
|
| 317 |
+
"lstrip": false,
|
| 318 |
+
"normalized": false,
|
| 319 |
+
"rstrip": false,
|
| 320 |
+
"single_word": false,
|
| 321 |
+
"special": true
|
| 322 |
+
},
|
| 323 |
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| 1556 |
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| 1557 |
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| 1561 |
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| 1562 |
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| 1563 |
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|
| 1564 |
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| 1565 |
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| 1566 |
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| 1568 |
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| 1569 |
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| 1570 |
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| 1571 |
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|
| 1572 |
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| 1573 |
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| 1576 |
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| 1577 |
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|
| 1578 |
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| 1579 |
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|
| 1580 |
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|
| 1581 |
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| 1582 |
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| 1583 |
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| 1584 |
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| 1585 |
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|
| 1586 |
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| 1587 |
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|
| 1588 |
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| 1589 |
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| 1590 |
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| 1593 |
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|
| 1594 |
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| 1595 |
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|
| 1596 |
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| 1597 |
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| 1598 |
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| 1601 |
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|
| 1602 |
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|
| 1604 |
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|
| 1605 |
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| 1609 |
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| 1610 |
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| 1612 |
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| 1613 |
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| 1620 |
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| 1621 |
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| 1628 |
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| 1629 |
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| 1633 |
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| 1634 |
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| 1636 |
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| 1637 |
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| 1641 |
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| 1642 |
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| 1644 |
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| 1645 |
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| 1649 |
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| 1650 |
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| 1652 |
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| 1653 |
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| 1657 |
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| 1658 |
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| 1660 |
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| 1661 |
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| 1665 |
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| 1666 |
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| 1668 |
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| 1669 |
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| 1676 |
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| 1677 |
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| 1684 |
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| 1692 |
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| 1748 |
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| 1764 |
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| 1770 |
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| 1772 |
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| 1773 |
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| 1778 |
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| 1780 |
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| 1781 |
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| 1785 |
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|
| 1786 |
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| 1788 |
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| 1789 |
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| 1790 |
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| 1793 |
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|
| 1794 |
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| 1795 |
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| 1796 |
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| 1797 |
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| 1800 |
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|
| 1802 |
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|
| 1803 |
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|
| 1804 |
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| 1810 |
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| 1811 |
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| 1812 |
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| 1813 |
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| 1817 |
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|
| 1818 |
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|
| 1820 |
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|
| 1821 |
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| 1825 |
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|
| 1826 |
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| 1827 |
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|
| 1828 |
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|
| 1829 |
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|
| 1830 |
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|
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| 1833 |
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|
| 1834 |
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|
| 1836 |
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| 1837 |
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| 1840 |
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| 1841 |
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|
| 1842 |
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|
| 1844 |
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| 1845 |
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| 1848 |
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| 1849 |
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|
| 1850 |
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|
| 1851 |
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|
| 1852 |
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|
| 1853 |
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| 1854 |
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| 1857 |
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|
| 1858 |
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|
| 1859 |
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|
| 1860 |
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|
| 1861 |
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| 1862 |
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|
| 1863 |
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| 1864 |
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|
| 1865 |
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|
| 1866 |
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|
| 1867 |
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|
| 1868 |
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|
| 1869 |
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|
| 1870 |
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|
| 1871 |
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| 1872 |
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| 1873 |
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|
| 1874 |
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|
| 1875 |
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|
| 1876 |
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|
| 1877 |
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| 1878 |
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|
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| 1880 |
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|
| 1882 |
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|
| 1883 |
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|
| 1884 |
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|
| 1885 |
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|
| 1886 |
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|
| 1887 |
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| 1888 |
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|
| 1889 |
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|
| 1890 |
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|
| 1891 |
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|
| 1892 |
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|
| 1893 |
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|
| 1894 |
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|
| 1895 |
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| 1896 |
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| 1897 |
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|
| 1898 |
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|
| 1899 |
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|
| 1900 |
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|
| 1901 |
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| 1902 |
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|
| 1903 |
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| 1904 |
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| 1905 |
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|
| 1906 |
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|
| 1907 |
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|
| 1908 |
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|
| 1909 |
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|
| 1910 |
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|
| 1911 |
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| 1912 |
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|
| 1913 |
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|
| 1914 |
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|
| 1915 |
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|
| 1916 |
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|
| 1917 |
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|
| 1918 |
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|
| 1919 |
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|
| 1920 |
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|
| 1921 |
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|
| 1922 |
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|
| 1923 |
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|
| 1924 |
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|
| 1925 |
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|
| 1926 |
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|
| 1927 |
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|
| 1928 |
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|
| 1929 |
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|
| 1930 |
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|
| 1931 |
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|
| 1932 |
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|
| 1933 |
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|
| 1934 |
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|
| 1935 |
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|
| 1936 |
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|
| 1937 |
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|
| 1938 |
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|
| 1939 |
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|
| 1940 |
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"content": "<|reserved_special_token_234|>",
|
| 1941 |
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|
| 1942 |
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|
| 1943 |
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|
| 1944 |
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|
| 1945 |
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|
| 1946 |
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|
| 1947 |
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|
| 1948 |
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|
| 1949 |
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|
| 1950 |
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|
| 1951 |
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|
| 1952 |
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|
| 1953 |
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|
| 1954 |
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|
| 1955 |
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|
| 1956 |
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"content": "<|reserved_special_token_236|>",
|
| 1957 |
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|
| 1958 |
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|
| 1959 |
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|
| 1960 |
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|
| 1961 |
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|
| 1962 |
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|
| 1963 |
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|
| 1964 |
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"content": "<|reserved_special_token_237|>",
|
| 1965 |
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"lstrip": false,
|
| 1966 |
+
"normalized": false,
|
| 1967 |
+
"rstrip": false,
|
| 1968 |
+
"single_word": false,
|
| 1969 |
+
"special": true
|
| 1970 |
+
},
|
| 1971 |
+
"128246": {
|
| 1972 |
+
"content": "<|reserved_special_token_238|>",
|
| 1973 |
+
"lstrip": false,
|
| 1974 |
+
"normalized": false,
|
| 1975 |
+
"rstrip": false,
|
| 1976 |
+
"single_word": false,
|
| 1977 |
+
"special": true
|
| 1978 |
+
},
|
| 1979 |
+
"128247": {
|
| 1980 |
+
"content": "<|reserved_special_token_239|>",
|
| 1981 |
+
"lstrip": false,
|
| 1982 |
+
"normalized": false,
|
| 1983 |
+
"rstrip": false,
|
| 1984 |
+
"single_word": false,
|
| 1985 |
+
"special": true
|
| 1986 |
+
},
|
| 1987 |
+
"128248": {
|
| 1988 |
+
"content": "<|reserved_special_token_240|>",
|
| 1989 |
+
"lstrip": false,
|
| 1990 |
+
"normalized": false,
|
| 1991 |
+
"rstrip": false,
|
| 1992 |
+
"single_word": false,
|
| 1993 |
+
"special": true
|
| 1994 |
+
},
|
| 1995 |
+
"128249": {
|
| 1996 |
+
"content": "<|reserved_special_token_241|>",
|
| 1997 |
+
"lstrip": false,
|
| 1998 |
+
"normalized": false,
|
| 1999 |
+
"rstrip": false,
|
| 2000 |
+
"single_word": false,
|
| 2001 |
+
"special": true
|
| 2002 |
+
},
|
| 2003 |
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"128250": {
|
| 2004 |
+
"content": "<|reserved_special_token_242|>",
|
| 2005 |
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"lstrip": false,
|
| 2006 |
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|
| 2007 |
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"rstrip": false,
|
| 2008 |
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"single_word": false,
|
| 2009 |
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"special": true
|
| 2010 |
+
},
|
| 2011 |
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"128251": {
|
| 2012 |
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"content": "<|reserved_special_token_243|>",
|
| 2013 |
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"lstrip": false,
|
| 2014 |
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"normalized": false,
|
| 2015 |
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"rstrip": false,
|
| 2016 |
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"single_word": false,
|
| 2017 |
+
"special": true
|
| 2018 |
+
},
|
| 2019 |
+
"128252": {
|
| 2020 |
+
"content": "<|reserved_special_token_244|>",
|
| 2021 |
+
"lstrip": false,
|
| 2022 |
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"normalized": false,
|
| 2023 |
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"rstrip": false,
|
| 2024 |
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"single_word": false,
|
| 2025 |
+
"special": true
|
| 2026 |
+
},
|
| 2027 |
+
"128253": {
|
| 2028 |
+
"content": "<|reserved_special_token_245|>",
|
| 2029 |
+
"lstrip": false,
|
| 2030 |
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"normalized": false,
|
| 2031 |
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"rstrip": false,
|
| 2032 |
+
"single_word": false,
|
| 2033 |
+
"special": true
|
| 2034 |
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},
|
| 2035 |
+
"128254": {
|
| 2036 |
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"content": "<|reserved_special_token_246|>",
|
| 2037 |
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"lstrip": false,
|
| 2038 |
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"normalized": false,
|
| 2039 |
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"rstrip": false,
|
| 2040 |
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"single_word": false,
|
| 2041 |
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"special": true
|
| 2042 |
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},
|
| 2043 |
+
"128255": {
|
| 2044 |
+
"content": "<|reserved_special_token_247|>",
|
| 2045 |
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"lstrip": false,
|
| 2046 |
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"normalized": false,
|
| 2047 |
+
"rstrip": false,
|
| 2048 |
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"single_word": false,
|
| 2049 |
+
"special": true
|
| 2050 |
+
}
|
| 2051 |
+
},
|
| 2052 |
+
"bos_token": "<|begin_of_text|>",
|
| 2053 |
+
"clean_up_tokenization_spaces": true,
|
| 2054 |
+
"eos_token": "<|eot_id|>",
|
| 2055 |
+
"extra_special_tokens": {},
|
| 2056 |
+
"model_input_names": [
|
| 2057 |
+
"input_ids",
|
| 2058 |
+
"attention_mask"
|
| 2059 |
+
],
|
| 2060 |
+
"model_max_length": 131072,
|
| 2061 |
+
"pad_token": "<|eot_id|>",
|
| 2062 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2063 |
+
}
|
checkpoint-4000/trainer_state.json
ADDED
|
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|
|
|
checkpoint-4000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:dfabdbe8b61dfe26b4b5c05e8510eb97f99d8c4b429e3fa7cb1e5ef220df22da
|
| 3 |
+
size 6225
|