Bitsandbytes llama 2 not working. I use the Autotrainer-advanced single line cli command.

Bitsandbytes llama 2 not working I use the Autotrainer-advanced single line cli command. from I am trying to run LLaMA 2 on google colab but I get bitsandbytes installation error. I've been trying to fine tune LLAMA 7B on my PC and keep running into many issues. For I have fine-tuned a model using QLoRA (4-bit) and then pushed it to the hub. git MODEL_NAME = “meta-llama/Llama-2-7b-chat-hf” model = AutoModelForCausalLM. I’m currently trying to fine tune the llama2-7b model on a dataset with 50k data rows from nous Hermes through huggingface. Since I’m on a Windows machine, I use bitsandbytes-windows which currently only supports 8bit quantisation. The error is: The load_in_4bit problem seems working with that bitsandbytes. As bitsandybytes is required by ll2ma2-webui, but on win10 platform, it can not work. I have a rtx 3090 with 24gb vram. py:166: UserWarning: Welcome to bitsandbytes. 0). This is my code here: model_id, use_auth_token=hf_auth. com/huggingface/transformers. For ex: - CUDA 12. I have confirmed that it is in fact installed (version 0. 8. I tried to change the config file and update it by adding do_sample=true but did not work. As bitsandybytes is required by ll2ma2-webui, but on win10 platform, it can not work. C:\Users\PC\AppData\Local\Programs\Python\Python311\Lib\site-packages\bitsandbytes\cuda_setup\main. - bitsandbytes doesn't support windows. This is how I created the environment on window 10: conda create --name=llama_2 python=3. . Pretty basic stuff, and I vaguely remember it working before, but for some reason it keeps giving me a Bitsandbytes-related error. !pip install -qqq bitsandbytes --progress-bar off !pip install -qqq torch --progress-bar off !pip install -q -U git+https://github. Then, I tried to test it with inference API, but I get the following error: No package metadata was found for bitsandbytes The model: base In addition, my testing indicates that Llama3-8B-Ins works fine with both BnB 8-bit and 4-bit quantization. I spent the better part of my day chasing down and fixing dependencies and I'm still going strong. 2 is too new for some of the plugins as pytorch stable expects 11. Then I installed: Isn't bitsandbytes not supported on Windows? I could be wrong, but I remember that being a limitation back when I was trying to finetune models a couple months back. 11. I have restarted the kernel and done everything I could think of. so library. I'm trying to run Llama 2 locally on my Windows PC. It seems that bitsanndbytes can not find some . The other piece of advice I can give you for compiling with GPU support, is to check the "issues" tab in Github. model_id, trust_remote_code=True, config=model_config, use_auth_token=hf_auth. 43. zwnkvv tja tmqv hoozlrb ywix dapm vchr txjrlh nin rbonl