InternLM / InternLM/SIM-CoT

SIM-CoT performance on larger models

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#16 2 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
215
Forks
16
PR merge metrics
No merged PRs in 30d

Description

Hi

Thanks for releasing such an insightful paper and clean repository!

I am working on reproducing your method and applying it to other model architectures.

Besides LLaMA 8B, have you experimented with larger LLMs? If so, how does the performance hold up? I'd love to hear your thoughts or expectations on scaling this up.

Thanks again!

Contributor guide

No contributing guide indexed for this repository

Research direction

The issue names no files, tests, or entry points. Start by reviewing the repository's existing SIM-CoT implementation and evaluation setup, then determine whether larger-model experiments are documented; done would require reported scaling results or a documented maintainer response.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai, machine-learning
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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