microsoft / microsoft/LLMLingua
[Question]: Reproduce end2end latency results of LLMLingua-2
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Description
Describe the issue
@pzs19
I would like to reproduce and expand the end2end latency benchmark results of the LLMLingua-2 paper and was therefore wondering if you could provide more details on your experiment setup? Specifically:
- Which target LLM was evaluated (and how was it set up, was vLLM or similar used?)
- For the result in Table 5, which prompt length was used, what was the prompt?
- Whats the definition of end2end latency? From the beginning of compression until the generation of the first token or until the full response is generated?
- What was
max_tokenset to, and did you enforce the generation of a minimum number of tokens?
Thanks a lot!
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Research direction
Start with the LLMLingua-2 paper and its Table 5, then inspect the repository's benchmark entry points for the target LLM, prompt length, max_token, and latency measurement. Done means documenting the experiment setup and defining whether end-to-end latency ends at the first token or the full response.
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Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning, performance
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100