Dataset and ShareGPT Format 今天学习LLM训练中常用的两种数据存储格式:sharegpt和alpaca ShareGPT ShareGPT 最早是chrome的一个插件,用于方便的分享ChatGPT的对话。2024年不再维护,API不能使用了。ShareGPT Dataset是用sharegpt插件收集的大家分享的用chatgpt生成的对话数据集。基础格式如下,需要指定role(也就是from)...
torchrun --nproc_per_node=8 --master_port=25001 train.py \ --model_name_or_path /home/model_zoo/llama/7B/hugging_face_format/ \ --data_path /home/data_zoo/InstructionWild/data/instinwild_ch_en.json \ --bf16 True \ --output_dir /home/Repository/LLM/stanford_alpaca/output/alpaca/...
Loading the checkpoint in a Llama model. Loading checkpoint shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████...
Loading the checkpointina Llama model. Loading checkpoint shards:100%|█████████████████████████████████████████████████████████████████████████████████████████████████████...
Same format as `model_outputs`. If None, the reference outputs are a specific set of Davinci 003 outputs on the AlpacaEval set: --annotators_config=ANNOTATORS_CONFIG Type: Union Default: 'alpaca_eval_gpt4_turbo_fn' The path the (or list of dict of) the annotator's config file. For...
I am new to LangChain and very new to making LLM classes, and streaming is complicated. But this works for each streaming situation I tried. Someone more familiar could probably do a much better job sooner than me but as there is a lot of interest in breaking free of the cloud and fin...
Same format as `all_model_outputs` but without needing `generator`. By default, the reference outputs are the 003 outputs on AlpacaEval set. -f, --fn_add_to_leaderboard=FN_ADD_TO_LEADERBOARD Type: Callable Default: 'evaluate' The function to use to add a model to the leaderboard. If ...
LLMs之ChatGLM3:ChatGLM3源码解读(format_tool_alpaca.py)——实现将ToolAlpaca训练数据文件(解析JSON格式)转换为一个适合于训练对话模型的格式文件(清晰分隔不同角色的消息+包含了工具的使用和观察结果,tools-conversations【user-assistant-tool{tool_name/parameters/observation}-assistant】) https://yunyaniu.blog...
2、第二次训练,改为单机双卡,双卡OOM。 修改参数: --nnodes 1 --nproc_per_node 2 OutOfMemoryError:CUDAoutof memory. 3、第三次训练,单机双卡,且改为节省内存模式,训练跑成功,merge时报错。 删除脚本中三行 --modules_to_save ${modules_to_save} \ ...
LLMs之ChatGLM3:ChatGLM3源码解读(format_tool_alpaca.py)——实现将ToolAlpaca训练数据文件(解析JSON格式)转换为一个适合于训练对话模型的格式文件(清晰分隔不同角色的消息+包含了工具的使用和观察结果,tools-conversations【user-assistant-tool{tool_name/parameters/observation}-assistant】) https://yunyaniu.blog...