模型选择:Chinese-LLaMA-2-7b 这里我选择用4Bit加载模型。可以看到7b占用了5778M。 python scripts/inference/inference_hf.py \ --base_model scripts/training/preweights/chinese-llama-2-7b-hf \ --with_prompt \ --interactive \ --load_in_4bit 3.2、使用llama.cpp进行推理 模型选择:Chinese-LLaMA-2...
代码仓:https://github.com/facebookresearch/llamahttps://github.com/ymcui/Chinese-LLaMA-Alpaca-2 模型:chinese-alpaca-2-7b-hf 下载:使用百度网盘下载 硬件环境:暗影精灵7Plus Ubuntu版本:18.04 内存32G GPU显卡:Nvidia GTX 3080 Laptop (16G) 2.代码和模型下载: chinese-alpaca-2-7b-hf的模型从官网下载:...
原版Llama-2-hf地址:huggingface.co/meta-lla 2.3.5 、其他下载方式 wget https://agi.gpt4.org/llama/LLaMA/tokenizer.model -O ./tokenizer.model wget https://agi.gpt4.org/llama/LLaMA/tokenizer_checklist.chk -O ./tokenizer_checklist.chk wget https://agi.gpt4.org/llama/LLaMA/7B/consolidated....
python langchain_qa.py --embedding_path text2vec-large-chinese --model_path chinese-alpaca-2-7b-hf --file_path doc.txt --chain_type refine 可以了! 回答的速度不是很快,但是也还不错了。 (langchain)PS D:\Chinese-LLaMA-Alpaca-2\scripts\langchain>python langchain_qa.py --embedding_path t...
开通百度智能云千帆大模型平台服务自动获取1000000+免费tokens 立即体验 部署llama2-7b-chat-hf模型(CPU版本)需要按照以下步骤进行: 获取模型:首先,您需要从GitHub上获取llama2-7b-chat-hf模型的代码仓库。可以使用git clone命令来克隆或下载代码仓库,例如:git clone <repository_url>。请将<repository_url>替换为实际...
The error is as below: Traceback (most recent call last): File "/home/jwang/ipex-llm-jennie/python/llm/example/CPU/HF-Transformers-AutoModels/Model/llama2/./generate.py", line 65, in output = model.generate(input_ids, File "/root/anaconda3/envs/jiao-llm/lib/python3.9/site-packages/...
python trl/examples/scripts/sft_trainer.py \ --model_name meta-llama/Llama-2-7b-hf \ --dataset_name timdettmers/openassistant-guanaco \ --load_in_4bit \ --use_peft \ --batch_size 4 \ --gradient_accumulation_steps 2 How to Prompt Llama 2 One of the unsung advantages of...
ModelLink跑chatglm3-6b和llama2-7b-hf模型,出现NPU out of memory,这块可以去修改哪个脚本的参数哦 174 基于MindSpore通过GPT实现情感分类报错ModuleNotFoundError: No module named '_pytest' 95 在MindSpore2.3版本中,使用LSTM模型做藏头诗的生成工作,模型训练过程出现BUG。 97 mindspore transformers 量化...
Llama2官方模型 类别模型名称🤗模型加载名称下载地址 预训练Llama2-7Bmeta-llama/Llama-2-7b-hfHuggingFace|迅雷网盘 预训练Llama2-13Bmeta-llama/Llama-2-13b-hfHuggingFace|迅雷网盘 预训练Llama2-70Bmeta-llama/Llama-2-70b-hfHuggingFace ChatLlama2-7B-Chatmeta-llama/Llama-2-7b-chat-hfHuggingFace|迅雷网盘...
Meta developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases....