awesome-llms-finetuning
github.com/pdaicode/awesome-llms-finetuning ↗Collection of resources for finetuning Large Language Models (LLMs).
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1. LLM Performance & Concepts2. LLM Backbones3. LLM and Applications4. Fine-Tuning5. Tools & SoftwareThis repo is based on the following resources
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Installation instructions →What's inside
5. Tools & Software
1. LLM Performance & Concepts
- AlpacaEval Leaderboard
An Automatic Evaluator for Instruction-following Language Models
- Chatbot Arena Leaderboard
a benchmark platform for large language models (LLMs) that features anonymous, randomized battles in a crowdsourced manner.
- HomepageCourses & Lectures
- https://www.zhihu.com/question/655951646/answer/3498544864Blogs
- https://zhuanlan.zhihu.com/p/680955430Blogs
- LLaVa via Ollama - Image AnnotationKaggle & Colab Notebooks
Image Annotation
This repo is based on the following resources
4. Fine-Tuning
- awesome-llm-human-preference-datasetsFrameworks
- DB-GPT-HubFrameworks
- Finetune_LLMsFrameworks
- H2O LLM StudioFrameworks
- h2o-wizardlmFrameworks
- hcgfFrameworks
LLM微调. :star: 196
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