thaumstrial / FinetuneGLMWithPeftLinks
Simple implementation of using lora form the peft library to fine-tune the chatglm-6b
☆83Updated 2 years ago
Alternatives and similar repositories for FinetuneGLMWithPeft
Users that are interested in FinetuneGLMWithPeft are comparing it to the libraries listed below
Sorting:
- deep learning☆148Updated 3 weeks ago
- ☆172Updated 2 years ago
- NLU & NLG (zero-shot) depend on mengzi-t5-base-mt pretrained model☆74Updated 2 years ago
- ChatGLM-6B fine-tuning.☆135Updated 2 years ago
- 骆驼QA,中文大语言阅读理解模型。☆74Updated 2 years ago
- GTS Engine: A powerful NLU Training System。GTS引擎(GTS-Engine)是一款开箱即用且性能强大的自然语言理解引擎,聚焦于小样本任务,能够仅用小样本就能自动化生产NLP模型。☆91Updated 2 years ago
- moss chat finetuning☆50Updated last year
- chatglm-6b微调/LORA/PPO/推理, 样本为自动生成的整数/小数加减乘除运算, 可gpu/cpu☆164Updated last year
- alpaca中文指令微调数据集☆392Updated 2 years ago
- CamelBell(驼铃) is be a Chinese Language Tuning project based on LoRA. CamelBell is belongs to Project Luotuo(骆驼), an open sourced Chinese-…☆174Updated last year
- 百川Dynamic NTK-ALiBi的代码实现:无需微调即可推理更长文本☆47Updated last year
- use chatGLM to perform text embedding☆45Updated 2 years ago
- 使用qlora对中文大语言模型进行微调,包含ChatGLM、Chinese-LLaMA-Alpaca、BELLE☆86Updated last year
- ☆308Updated 2 years ago
- ChatGLM2-6B 微调, SFT/LoRA, instruction finetune☆108Updated last year
- 旨在对当前主流LLM进行一个直观、具体、标准的评测☆94Updated last year
- 大语言模型指令调优工具(支持 FlashAttention)☆173Updated last year
- ☆162Updated 2 years ago
- 零样本学习测评基准,中文版☆56Updated 3 years ago
- llama inference for tencentpretrain☆98Updated last year
- 语言模型中文认知能力分析☆236Updated last year
- 演示 vllm 对中文大语言模型的神奇效果☆31Updated last year
- 中文图书语料MD5链接☆218Updated last year
- Kanchil(鼷鹿)是世界上最小的偶蹄目动物,这个开源项目意在探索小模型(6B以下)是否也能具备和人类偏好对齐的能力。☆113Updated 2 years ago
- Implementation of Chinese ChatGPT☆287Updated last year
- GoGPT:基于Llama/Llama 2训练的中英文增强大模型|Chinese-Llama2☆78Updated last year
- pCLUE: 1000000+多任务提示学习数据集☆494Updated 2 years ago
- 对ChatGLM直接使用RLHF提升或降低目标输出概率|Modify ChatGLM output with only RLHF☆194Updated 2 years ago
- MEASURING MASSIVE MULTITASK CHINESE UNDERSTANDING☆87Updated last year
- 文本去重☆72Updated last year