Eagle and its uses in LLM (VLLM)

The primary goal of EAGLE is to reduce the computational cost and latency associated with generating text from LLMs. It achieves this by introducing methods that allow for faster decoding during inference, making it particularly useful for applications requiring real-time or large-scale language processing.​

If you're looking for a faster and more performant technical for text generation - this can help. 

In the context of vllm, this approach can provide faster performance for model served with VLLM. 

https://docs.vllm.ai/en/latest/getting_started/examples/eagle.html

As you can see here under speculative_config.





 




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