Comments (2)
ChatGLM3系列有三个版本:基础大语言模型ChatGLM3-6B-Base、对话调优大语言模型ChatGLM3-6B和长文本对话大语言模型ChatGLM3-6B-32K
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我的理解是base版本的是指经过预训练的,chat版本的使用了sft指令微调和强化学习进行了对齐,不知道理解的对不对
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Related Issues (20)
- chatglm4啥时候开源? HOT 1
- 【已经移动到Discussions】【咨询】Mac 上通过运行python3 web_demo_streamlit.py 会把模型下载到哪里?
- quantization failed HOT 1
- 关于多卡部署 HOT 3
- lora微调后没有pytorch_model.bin HOT 2
- api_server.py只能用post请求调用吗 HOT 2
- GLM大模型是Causal Language Model类型的模型么? HOT 1
- 官方的所有openai_api实现的函数调用全部失效了 HOT 8
- 关于微调多轮对话生成的loss_mask格式问题 HOT 1
- ptuning_v2 微调后使用inference_hf.py推理 出现Both `max_new_tokens` (=512) and `max_length`(=8192) seem to have been set. `max_new_tokens` will take precedence. Please refer to the documentation for more information. (https://huggingface.co/docs/transformers/main/en/main_classes/text_generation) HOT 4
- openai_api.py 支持并发调用,或者怎么实现并发调用 HOT 1
- 量化加载chatglm3,报错:round_vml_cpu not implemented for Half HOT 5
- 导入huggingface_hub不知道那个版本导入库没有后面的 TextGenerationStreamResponse, Token HOT 8
- [lora finetune] RuntimeError: CUDA error: device-side assert triggered
- AttributeError: 'NoneType' object has no attribute 'peft_type' HOT 3
- api调用出错 HOT 1
- 运行抛异常:CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions HOT 4
- requirements.txt的问题 HOT 1
- problems when finetuning with lora HOT 3
- 【求助】关于算法备案的问题
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