以下是Llama2用telegram群聊数据进行丐版微调的教程,只需要花上十几块人民币再加上一个小时,就可以得到一个你想要的Llama 2了。以下是Llama2在微调后的工作效果: 在Telegram 中模拟对话 目标很明确,就是对Llama 2进行微调,这样可以自动生成我与朋友进行多年的群聊中发生的对话。第一步是从 Telegram 导出数据,这...
python3 trl_finetune.py -m NousResearch/Llama-2-7b-hf --block_size 1024 --eval_steps 2 --save_steps 20 --log_steps 2 -tf mixtral/train.csv -vf mixtral/val.csv -b 2 -lr 1e-4 --lora_alpha 16 --lora_r 64 -e 1 --gradient_accumulation_steps 2 --pad_token_id=18610 --al...
心理健康大模型、LLM、The Big Model of Mental Health、Finetune、InternLM2、InternLM2.5、Qwen、ChatGLM、Baichuan、DeepSeek、Mixtral、LLama3、GLM4、Qwen2、LLama3.1 finetunellmthe-big-model-of-mental-health UpdatedOct 21, 2024 Python 优质稳定的OpenAI的API接口-For企业和开发者。OpenAI的api proxy,支持...
fine-tuning llama2 with parameter-efficient fine-tuning (PEFT) techniques like LoRA or QLoRA. - vishnun0027/Fine-tune_llama2
If you see the error from the training script.LlamaConverter requires the protobuf library but it was not found in your environment. Checkout the instructions on the installation page of its repo: https://github.com/protocolbuffers/protobuf/tree/master/python#installation and follow the ones tha...
@chauhang I also have the same question when I use 16 GPUS to inference the llama-70b using inference.py(https://github.com/facebookresearch/llama-recipes/blob/main/inference/inference.py. Can you give us some right command to run it? Thanks! Contributor chauhang commented Sep 4, 2023 ...
I met some problems when using fastchat/train/train.py to fine-tune a llama-2-7b by using llama-2's conversation template. I have changed the get_conversation_template("vicuna") to get_conversation_template("llama-2"), and delated assert conv.sep_style == SeparatorStyle.ADD_COLON_TWO....
好久没做 weekend project 了,那么,让我们来 fine-tune 自己的 LLaMA-2 吧!按照下面的步骤,我们甚至不需要写一行代码,就可以完成 fine-tunning! 第一步:准备训练脚本 很多人不知道的是,LLaMA-2 开源后,Meta 同步开源了llama-recipes这个项目,帮助对 fine-tune LLaMA-2 感兴趣的小伙伴更好地 “烹饪” 这个模...
Fine-tune Llama2 and CodeLLama models, including 70B/35B on Apple M1/M2 devices (for example, Macbook Air or Mac Mini) or consumer nVidia GPUs.slowllama is not using any quantization. Instead, it offloads parts of model to SSD or main memory on both forward/backward passes. In contrast...
Workbench Example Project for Finetuning Llama 2. Contribute to zhanghui-china/workbench-example-llama2-finetune development by creating an account on GitHub.