microsoft / microsoft/LLMLingua

[Question]: Fail to reproduce llmlingua on meetingbank

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@pzs19 is already working on this.

Since Jul 30, 2024.

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Description

Describe the issue

Thanks for the interesting work. I tried to reproduce the results of llmlingua on the meetingbank QA dataset with Mistral-7B as the target LLM.

The small LLM I use is https://huggingface.co/NousResearch/Llama-2-7b-hf

However, the results seem much lower than the reported results in Table 4 of llmlingua2 (around 20 than 50.45 in the paper). Here is my implementation:

compressor = PromptCompressor(
model_name=args.model_name,
model_config={},
use_llmlingua2=False
)

iterative_size = 200
comp_dict = compressor.compress_prompt(
context=origin,
instruction="",
question="",
rate=args.compression_rate,
iterative_size=iterative_size,
context_budget="*2.0",
)

I'm wondering if there is any issue with my implementation?

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