lm-sys / lm-sys/FastChat

How to support rope scaling automatically for LLama based model?

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Description

the rope scaling config are supported in transformers now, but not enabled auto.

https://huggingface.co/docs/transformers/main/en/model_doc/llama2

How to make it automatically support rope scaling in fschat?

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the linked Transformers Llama2 documentation, then locate FastChat's Llama model-loading entry point and compare how rope scaling configuration is passed through. Done means supported rope scaling settings are recognized automatically for Llama-based models without manual intervention, with the behavior verified on a representative model.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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