如果网络不稳定，也可以手动从这个页面一个一个下载全部文件然后放置到 一个文件夹中例如 'chatglm2-6...
PS:因为这里使用的是 A10 GPU,显存绰绰有余,所以使用的是 FP16(无量化)精度,INT8 与 INT4 精度的量化加载方式可以参考 Github README 基于P-Tuning 微调 ChatGLM-6B ChatGLM-6B 环境已经有了,接下来开始模型微调,这里我们使用官方的 P-Tuning v2 对 ChatGLM-6B 模型进行参数微调,P-Tuning v2 将需要微调...
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Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调 - ChatGLM-Efficient-Tuning/README.md at main · hiyouga/ChatGLM-Efficient-Tuning
GLM-4-alltools GLM-4 GLM-3-Turbo ChatGLM3-6B GLM-4-9B-Chat DeepSeek Series DeepSeek-chat (API) DeepSeekv2.5 DeepSeekv3 stepfun step-1-8k step-1-32k step-1-128k (issues with multi-tool calls) step-1-256k (issues with multi-tool calls) step-1-flash (recommended, cost-effective...
Though ChatGLM is a bilingual model, its performance in English is likely suboptimal. This can be attributed to the instructions used in training mostly being in Chinese. Because ChatGLM-6B has substantiallyfewer parametersas compared to other LLMs such as BLOOM, GPT-3, and ChatGLM-130B, the...
ChatGLM-6B 是一个开源的、支持中英双语的对话语言模型,基于General LanguageModel (GLM) 架构,具有62 亿参数。 结合模型量化技术,用户可以在消费级的显卡上进行本地部署(INT4 量化级别下最低只需6GB 显存)。 ChatGLM-6B 自3月14号发布以来受到了广大开发者和用户的喜爱,截至4月23号GitHub 的star 数达到2 万...
# Load the ChatGLM3-6B model and quantize it to INT4 model = AutoModel.from_pretrained(model_path, load_in_4bit=True, trust_remote_code=True) # Load the tokenizer tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote...
With the quantization technique, users can deploy locally on consumer-grade graphics cards (only 6GB of GPU memory is required at the INT4 quantization level). Welcome to use the larger ChatGLM model on chatglm.cn ChatGLM-6B uses technology similar to ChatGPT, optimized for Chinese QA and ...
Incorporating the high quality Chinese instruction dataset COIG. License This repository is licensed under the Apache-2.0 License. Please follow the Model License to use ChatGLM-6B model. Citation If this work is helpful, please cite as: @Misc{chatglm-efficient-tuning, title = {ChatGLM Efficient...