File size: 2,384 Bytes
6e668dc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | # EAGLE Draft Models
The following code configures vLLM to use speculative decoding where proposals are generated by an [EAGLE (Extrapolation Algorithm for Greater Language-model Efficiency)](https://arxiv.org/pdf/2401.15077) based draft model. A more detailed example for offline mode, including how to extract request level acceptance rate, can be found in [examples/features/speculative_decoding/spec_decode_offline.py](../../../examples/features/speculative_decoding/spec_decode_offline.py)
## Eagle Drafter Example
```python
from vllm import LLM, SamplingParams
prompts = ["The future of AI is"]
sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
llm = LLM(
model="meta-llama/Meta-Llama-3-8B-Instruct",
tensor_parallel_size=4,
speculative_config={
"model": "yuhuili/EAGLE-LLaMA3-Instruct-8B",
"draft_tensor_parallel_size": 1,
"num_speculative_tokens": 2,
"method": "eagle",
},
)
outputs = llm.generate(prompts, sampling_params)
for output in outputs:
prompt = output.prompt
generated_text = output.outputs[0].text
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
```
## Eagle3 Drafter Example
```python
from vllm import LLM, SamplingParams
prompts = ["The future of AI is"]
sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
llm = LLM(
model="meta-llama/Meta-Llama-3-8B-Instruct",
tensor_parallel_size=2,
speculative_config={
"model": "RedHatAI/Llama-3.1-8B-Instruct-speculator.eagle3",
"draft_tensor_parallel_size": 2,
"num_speculative_tokens": 2,
"method": "eagle3",
},
)
outputs = llm.generate(prompts, sampling_params)
for output in outputs:
prompt = output.prompt
generated_text = output.outputs[0].text
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
```
## Pre-Trained Eagle Draft Models
A variety of EAGLE draft models are available on the Hugging Face hub:
* [RedHatAI/speculator-models](https://huggingface.co/collections/RedHatAI/speculator-models)
* [yuhuili/models](https://huggingface.co/yuhuili/models?search=eagle)
!!! warning
If you are using `vllm<0.7.0`, please use [this script](https://gist.github.com/abhigoyal1997/1e7a4109ccb7704fbc67f625e86b2d6d) to convert the speculative model and specify `"model": "path/to/modified/eagle/model"` in `speculative_config`.
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