ssbuild / moss_finetuningLinks
moss chat finetuning
☆51Updated last year
Alternatives and similar repositories for moss_finetuning
Users that are interested in moss_finetuning are comparing it to the libraries listed below
Sorting:
- 使用qlora对中文大语言模型进行微调,包含ChatGLM、Chinese-LLaMA-Alpaca、BELLE☆89Updated 2 years ago
- 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☆165Updated 2 years ago
- ChatGLM2-6B微调, SFT/LoRA, instruction finetune☆110Updated 2 years ago
- deep learning☆149Updated 8 months ago
- ☆43Updated 2 years ago
- ChatGLM-6B fine-tuning.☆136Updated 2 years ago
- 基于 LoRA 和 P-Tuning v2 的 ChatGLM-6B 高效参数微调☆55Updated 2 years ago
- llama inference for tencentpretrain☆99Updated 2 years ago
- 骆驼QA,中文大语言阅读理解模型。☆76Updated 2 years ago
- use chatGLM to perform text embedding☆45Updated 2 years ago
- GoGPT:基于Llama/Llama 2训练的中英文增强大模型|Chinese-Llama2☆79Updated 2 years ago
- 百川Dynamic NTK-ALiBi的代码实现:无需微调即可推理更长文本☆49Updated 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。☆93Updated 2 years ago
- ☆23Updated 2 years ago
- 大语言模型指令调优工具(支持 FlashAttention)☆177Updated 2 years ago
- 实现一种多Lora权值集成切换+Zero-Finetune零微调增强的跨模型技术方案,LLM-Base+LLM-X+Alpaca,初期,LLM-Base为Chatglm6B底座模型,LLM-X是LLAMA增强模型。该方案简易高效,目标是使此类语言模型能够低能耗广泛部署,并最…☆116Updated 2 years ago
- deepspeed+trainer简单高效实现多卡微调大模型☆131Updated 2 years ago
- llama信息抽取实战☆102Updated 2 years ago
- NLU & NLG (zero-shot) depend on mengzi-t5-base-mt pretrained model☆76Updated 3 years ago
- Simple implementation of using lora form the peft library to fine-tune the chatglm-6b☆84Updated 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☆197Updated 2 years ago
- 支持ChatGLM2 lora微调☆41Updated 2 years ago
- 基于sentence transformers和chatglm实现的文档搜索工具☆157Updated 2 years ago
- Summarize all open source Large Languages Models and low-cost replication methods for Chatgpt.☆136Updated 2 years ago
- ☆313Updated 2 years ago
- ☆164Updated 2 years ago
- 零样本学习测评基准,中文版☆59Updated 4 years ago
- chatglm_rlhf_finetuning☆30Updated 2 years ago
- ☆173Updated 2 years ago
- (1)弹性区间标准化的旋转位置词嵌入编码器+peft LORA量化训练,提高万级tokens性能支持。(2)证据理论解释学习,提升模型的复杂逻辑推理能力(3)兼容alpaca数据格式。☆45Updated 2 years ago