1. Visit the Llama repository in GitHub and follow the instructions in the README to run the download.sh script. 2. When asked for your unique custom URL, please insert the following:你的URL信息!!! 3. Select which model weights to download 然后大家直接去llama的GitHub网页上:https://github...
else(cd${TARGET_FOLDER}&&md5sum-ctokenizer_checklist.chk)fiformin${MODEL_SIZE//,/}doif[[$m=="7B"]];thenSHARD=0MODEL_PATH="llama-2-7b"elif[[$m=="7B-chat"]];thenSHARD=0MODEL_PATH="llama-2-7b-chat"elif[[$m=="13B"]];thenSHARD=1MODEL_PATH="llama-2-13b"elif[[$m=="13B-ch...
bash download.sh 在这里,你只需要下载7B模型就可以了。 2. 将模型转换为Hugging Face支持的格式 pip install git+https://github.com/huggingface/transformerscd transformerspython convert_llama_weights_to_hf.py \ --input_dir /path/to/downloaded/llama/weights --model_size 7B --output_dir models_hf/...
MetaAI下载模型页地址：https://ai.meta.com/llama/#download-the-model 点击Download后，要求填入一些...
获得token，成功登陆后，我们就可以输入如下代码，来使用Llama2来进行推理了。from transformers import AutoTokenizerimport transformersimport torchmodel = "meta-llama/Llama-2-7b-chat-hf"tokenizer = AutoTokenizer.from_pretrained(model)pipeline = transformers.pipeline( "text-generation",model=model, torch_...
Download Llama-2 Models Llama 2 is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Llama-2-7b-Chat-GPTQ is the GPTQ model files forMeta's Llama 2 7b Chat. GPTQ 4-bit Llama-2 model require less GPU VRAM to...
Hi, I have tried bash download.sh, several times. It keeps providing me with this error. download.sh: line 1: payload:allShortcutsEnabled:false: command not found I am running on a 2019 MacBook Pro Intel i9. Any help is greatly appreciat...
关键微软发布的信息，LLaMA2支持聊天应用也支持微调部署~未来也会在Windows本地引入该模型。只是，微软与Meta走得这么近，OpenAI咋办呢~~LLaMA2的开源地址：https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.mdLLaMA2的下载地址：https://ai.meta.com/resources/models-and-libraries/llama-downloads/...
MetaAI下载模型页地址:https://ai.meta.com/llama/#download-the-model 点击Download后,要求填入一些信息和邮箱,提交后会给你的邮箱发一个下载URL,注意这个是你自己的下载链接哦~ 下图是小卷邮箱里收到的模型下载链接 2.下载模型 服务器上命令行执行
Llama 2 下载 下载 model weights 和 tokenizer 需先访问 Meta AI 网站并接受许可。获得许可后，会在电子邮件中收到一个签名的 URL。然后运行download.sh脚本，将提供的 URL 在提示时作为下载启动的参数传递进去。并确保所复制的是 URL 文本本身，不要使用右键单击 URL 时的“复制链接地址”选项。如果复制的 URL...