duyntnet/Neural-una-cybertron-7b-imatrix-GGUF

Quantizations of https://huggingface.co/Weyaxi/Neural-una-cybertron-7b

Open source inference clients/UIs

• llama.cpp
• KoboldCPP
• text-generation-webui
• jan
• ik_llama.cpp
• croco.cpp

Closed source inference clients/UIs

• LM Studio
• More will be added...

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From original readme

Neural-una-cybertron-7b is an fblgit/una-cybertron-7b-v2-bf16 model that has been further fine-tuned with Direct Preference Optimization (DPO) using the Intel/orca_dpo_pairs dataset.

This model was created after examining the procedure of mlabonne/NeuralHermes-2.5-Mistral-7B model. Special thanks to @mlabonne.

Addionatal Information

This model was fine-tuned on Nvidia A100-SXM4-40GB GPU.

The total training time was 1 hour and 10 minutes.

Prompt Template(s)

ChatML

<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{user}<|im_end|>
<|im_start|>assistant
{asistant}<|im_end|>

Training hyperparameters

LoRA:

• r=16
• lora_alpha=16
• lora_dropout=0.05
• bias="none"
• task_type="CAUSAL_LM"
• target_modules=['k_proj', 'gate_proj', 'v_proj', 'up_proj', 'q_proj', 'o_proj', 'down_proj']

Training arguments:

• per_device_train_batch_size=4
• gradient_accumulation_steps=4
• gradient_checkpointing=True
• learning_rate=5e-5
• lr_scheduler_type="cosine"
• max_steps=200
• optim="paged_adamw_32bit"
• warmup_steps=100

DPOTrainer:

• beta=0.1
• max_prompt_length=1024
• max_length=1536