应用地址:https://openxlab.org.cn/apps/detail/BYCJS/Chat_huanhuan模型地址:https://openxlab.org.cn/models/detail/BYCJS/huanhuan-chat-internlm2-1_8bGitHub 项目链接:https://github.com/KMnO4-zx/xlab-huanhuan Mini-Horo-巧耳 InternLM2-Chat-1.8B 模型拥有极强的对话风格模仿能力。基于这种独特优势...
此实验为比较简单的基础实验,模型有8G显存即可部署 环境搭建,可以选用已配置好的环境 部署文件 import torch from transformers import AutoTokenizer, AutoModelForCausalLM model_name_or_path = "/root/share/new_models/Shanghai_AI_Laboratory/internlm2-chat-1_8b" tokenizer = AutoTokenizer.from_pretrained(mo...
xtuner train internlm2_chat_1_8b_qlora_horo2ds_e3.py --deepspeed deepspeed_zero2 完成对于微调模型的hf模型生成: export MKL_SERVICE_FORCE_INTEL=1 # 配置文件存放的位置 export CONFIG_NAME_OR_PATH=/root/horo_mini/config/internlm2_chat_1_8b_qlora_horo2ds_e3.py # 模型训练后得到的pth格式参数...
<3>Cli Demo部署InternLM2-Chat-1.8B模型 3.1 创建Demo文件夹以及文件 3.2 在文件中输入下面的代码 import torch from transformers import AutoTokenizer, AutoModelForCausalLM model_name_or_path = "/root/share/new_models/Shanghai_AI_Laboratory/internlm2-chat-1_8b" tokenizer = AutoTokenizer.from_pretr...
1. 2. 3. 导入预训练模型,加载模型: import torch from transformers import AutoTokenizer, AutoModelForCausalLM model_path = '/data/coding/demo/internlm2-chat-1_8b' tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True, device_map='cuda:0') ...
fromtransformersimportAutoModel#指定模型名称model_name ='internlm/internlm2-chat-1_8b'#加载模型model = AutoModel.from_pretrained(model_name)#指定保存模型的目录model_save_path ='/root/ft/model'#保存模型model.save_pretrained(model_save_path) ...
cp-r/root/share/new_models/Shanghai_AI_Laboratory/internlm2-chat-1_8b/* /root/ft/model/ 如果是需要自己下载,可以使用transformers库 from transformersimportAutoModel #指定模型名称 model_name='internlm/internlm2-chat-1_8b'#加载模型 model=AutoModel.from_pretrained(model_name)#指定保存模型的目录 ...
| 对话模型 | InternLM2-Chat-1_8B|CoalMineLLM_InternLM2-Chat-1_8B | V1.0 |OpenXLab|QLora| | 对话模型 | InternLM2-Chat-7B |CoalMineLLM_InternLM2-Chat-7B | V1.0 |OpenXLab|QLora| | 对话模型 | InternLM2-Math-7B |CoalMineLLM_InternLM2-Math-7B | V1.0 |OpenXLab|QLora| ...
system("mkdir /root/models") save_dir="/root/models" snapshot_download("Shanghai_AI_Laboratory/internlm2-chat-1_8b", cache_dir=save_dir, revision='v1.1.0') 有一说一,官方教程新建文件夹这里不调用os.mkdir而是直接os.system("mkdir /root/models")真是个bad practice,别学。 使用huggingface...
下载InternLM2-Chat-1.8B-SFT大模型。 python python fine-tune/download_pretrain_model.py 基于xtuner微调模型。 xtuner train ./fine-tune/internlm2_1_8b_qlora_lift_e3.py --deepspeed deepspeed_zero2 生成Adapter。 #注意修改.sh文件第六行模型文件路径./tools/1.convert_model.sh ...