add fintuning LLMs and vercel-labs/ai
This commit is contained in:
@@ -25,7 +25,14 @@ OpenAI 的 ChatGPT 大型语言模型(LLM)并未开源,这部分收录一
|
||||
|[FinGPT](https://github.com/AI4Finance-Foundation/FinGPT)||Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.|金融领域大模型|
|
||||
|[baichuan-7B](https://github.com/baichuan-inc/baichuan-7B) ||A large-scale 7B pretraining language model developed by Baichuan |baichuan-7B 是由百川智能开发的一个开源可商用的大规模预训练语言模型。基于 Transformer 结构,在大约1.2万亿 tokens 上训练的70亿参数模型,支持中英双语,上下文窗口长度为4096。在标准的中文和英文权威 benchmark(C-EVAL/MMLU)上均取得同尺寸最好的效果。|
|
||||
|
||||
### 模型列表
|
||||
### 大模型训练和微调
|
||||
|名称|Stars|简介| 备注 |
|
||||
|-------|-------|-------|------|
|
||||
|[ChatGLM-Efficient-Tuning](https://github.com/hiyouga/ChatGLM-Efficient-Tuning) |  | Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调|
|
||||
|[LLaMA-Efficient-Tuning](https://github.com/hiyouga/LLaMA-Efficient-Tuning) |  | Fine-tuning LLaMA with PEFT (PT+SFT+RLHF with QLoRA) |支持多种模型 LLaMA (7B/13B/33B/65B) ,BLOOM & BLOOMZ (560M/1.1B/1.7B/3B/7.1B/176B),baichuan (7B),支持多种微调方式LoRA,QLoRA|
|
||||
|
||||
|
||||
### 更多模型列表
|
||||
|名称|Stars|简介| 备注 |
|
||||
-|-|-|-
|
||||
|[🤖 LLMs: awesome-totally-open-chatgpt](https://github.com/nichtdax/awesome-totally-open-chatgpt) ||开源LLMs 收集。|-|
|
||||
|
||||
Reference in New Issue
Block a user