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Browse files- README.md +44 -0
- config.json +38 -0
- model.safetensors +3 -0
README.md
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---
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library_name: transformers
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license: mit
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---
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# sglang-EAGLE3-Qwen3-235B-A22B
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## Model Introduction
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The Eagle3 draft model was trained using the [SpecForge](https://github.com/sgl-project/SpecForge) framework for the Qwen3-235B-A22B model, leveraging a combination of UltraChat and ShareGPT datasets.
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## Benchmark Results
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gsm8k (200 questions)
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Accuracy: 0.965
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Invalid: 0.000
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Latency: 234.996 s
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Output throughput: 224.168 token/s
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<b>Accept length: 3.538</b>
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mtbench (80 questions)
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Number of questions: 80
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Output throughput: 241.5 token/s
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<b>Accept length: 3.019</b>
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## Usage
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You can use this Eagle3 draft model in [SGLang](https://github.com/sgl-project/sglang) with the following command:
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```bash
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python3 -m sglang.launch_server \
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--model <Qwen3-235B-A22B> \
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--speculative-algorithm EAGLE3 \
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--speculative-draft-model-path <EAGLE3-Qwen3-235B-A22B> \
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--speculative-num-steps 5 \
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--speculative-eagle-topk 8 \
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--speculative-num-draft-tokens 32 \
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--mem-fraction-static 0.75 \
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--tp 8 \
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--enable-ep-moe \
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--context-length 8192 \
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--trust-remote-code \
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--host 0.0.0.0 \
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--port 30000 \
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--dtype bfloat16
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```
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config.json
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{
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"architectures": [
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"LlamaForCausalLMEagle3"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"draft_vocab_size": 32000,
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"eagle_config": {
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"eagle_aux_hidden_state_layer_ids": [
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1,
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46,
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90
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],
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"use_aux_hidden_state": true
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},
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 24576,
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"max_position_embeddings": 40960,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 1,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.53.2",
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"use_cache": true,
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"vocab_size": 151936
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c8158a7b35a0b51fbc2a569d7c15ad24f9c7f92ee80b874473abda7d2e1ce69
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size 2429992936
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