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An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

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![P13@Q5EK_RPNCNEZJ`Q%B`1](https://github.com/OptimalScale/LMFlow/assets/107922257/945ab5a6-0c05-4c8d-8c72-c47468dd950b) ![Z 7BVJ~9{A5 SWS)M}U8F6](https://github.com/OptimalScale/LMFlow/assets/107922257/236ffbb2-c7cb-4ee4-8bda-7e112d05f80f) ![{LPGGGJU`}8~7XPC0VFD}UN](https://github.com/OptimalScale/LMFlow/assets/107922257/d88896c4-7cae-43ca-9799-3b5711efb7ca) ![image](https://github.com/OptimalScale/LMFlow/assets/107922257/babcf307-8599-4d4f-bcd1-5c34a05c8e40)

报错日志如下,请问是因为网络原因? 05/28/2023 17:18:09 - WARNING - datasets.builder - Found cached dataset json (/home/lmw22/.cache/huggingface/datasets/json/default-356c98baf89317c6/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51) 'HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /gpt2/resolve/main/tokenizer_config.json (Caused by ConnectTimeoutError(, 'Connection to huggingface.co timed out. (connect...

deepspeed ${deepspeed_args} \ examples/finetune.py \ --deepspeed configs/ds_config_zero3.json \ --bf16 \ --run_name finetune_with_lora \ --model_name_or_path /output_models/llama7b-lora-170k \ --num_train_epochs 0.01 \ --learning_rate 2e-5 \ --dataset_path /data/converted_data.json \ --per_device_train_batch_size 1 \ --per_device_eval_batch_size 1...

question

CUDA exception! Error code: no CUDA-capable device is detected CUDA exception! Error code: initialization error CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so CUDA SETUP: Detected CUDA version 118

question

使用的模型是llama7b,数据集是用的hugging face上的finance_alpaca(68.9K),制作成了下面的格式: { "type": "text2text", "instances": [ { "input": "###Instruction: If you are a financial adviser, customer will ask you some questions. ###Human: For a car, what scams can be...

我使用一个医学问答数据集([chatdoctor](https://github.com/Kent0n-Li/ChatDoctor))来微调robin-7b-v2,即使只训练0.01个epoch,也会导致完全失去对话能力。 数据集形式如下: { "type": "text2text", "instances": [ { "input": "###Human: Hi, I have what feels like a lump in my hip felxor, pretty much in the crease between lower abdominals...

[New Feature]能否用自己的数据训练一个预测模型,我的数据是工业上的数据,有很多特征值,想用它来训练从而帮我预测工业参数。

我的训练输出目录如下: ![image](https://github.com/OptimalScale/LMFlow/assets/44261472/a0f46ba6-eadf-4208-a625-ffa524faf4cf) 里面没有config.json文件,导致我融合模型的时候报如下的错误: ![image](https://github.com/OptimalScale/LMFlow/assets/44261472/8644f62c-82bf-45bc-8016-a1db2aa37e36)

模型权重是在 https://huggingface.co/LMFlow/Robin-7b-v2/tree/main 下载的,应该不需要再合并了。 启动命令使用的是: CUDA_VISIBLE_DEVICES=0 python examples/chatbot.py --model_name_or_path /home/gpt/weights/Robin-7b-v2 --deepspeed configs/ds_config_chatbot.json --use_ram_optimized_load False ![2023-06-12_18-49](https://github.com/OptimalScale/LMFlow/assets/42060953/cf14722e-a966-49fb-84af-9e52ac715833)

**Describe the bug** ```bash python service/app.py CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching in backup paths... CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so CUDA SETUP: Highest compute...

bug