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InternLM/InternEvo

0
View on GitHub↗
0 stars·0 forks·6 views

InternEvo

Features

  • Fine-Tuning Frameworks - Lightweight training framework for model pre-training.
  • Fine-Tuning Frameworks - Lightweight framework for model pre-training.

Star history

Star history chart for internlm/internevoStar history chart for internlm/internevo

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What are the main features of internlm/internevo?

The main features of internlm/internevo are: Fine-Tuning Frameworks.

What are some open-source alternatives to internlm/internevo?

Open-source alternatives to internlm/internevo include: alisawuffles/proxy-tuning. blaizzy/mlx-vlm. bytedance-seed/veomni. evolvinglmms-lab/lmms-engine. facebookresearch/lingua — Lingua is a research framework for developing, training, and experimenting with large language model architectures and… alibaba/chatlearn — A flexible and efficient training framework for large-scale alignment tasks.