This is an intermediate level tutorial which details the architecture of the LLaMA 2 model with a demo. We recommend all readers are familiar with the general functionality of Generative Pretrained Transformers before continuing. To follow along with this tutorial, you will need a sufficiently powerfu...
fine tuning run the following code under llama2-tutorial folder. python -m llama_recipes.finetuning \--use_peft \--peft_method lora \--quantization \--model_name ./llama/models_hf/7B \--dataset custom_dataset \--custom_dataset.file"dataset.py:get_preprocessed_medical"\--output_dir ../...
InternLM/Tutorial: LLM&VLM Tutorial教程在这里 今天学习第四关,目标是用最小的代价,让大模型能运用一些私有的知识库回答问题。这也是非常经济实惠的方案,那就是RAG。 一、检索增强生成(Retrieval Augmented Generation,RAG)的概念 给模型注入新知识的方式,可以简单分为两种方式: ...
We will learn a simple way to install and use Llama 2 without setting up Python or any program. Just download the files and run a command in PowerShell.
python ~/Llama3-Tutorial/tools/convert_agentflan.py ~/Agent-FLAN/data 在显示下面的内容后,就表示已经转换好了。转换好的数据位于 ~/Agent-FLAN/data_converted Saving the dataset (1/1 shards): 100%|████████████| 34442/34442 ...
Llama3-Tutorial之LMDeploy高效部署Llama3实践 Llama 3 近期重磅发布,发布了 8B 和 70B 参数量的模型,lmdeploy团队对 Llama 3 部署进行了光速支持!!! 书生·浦语和机智流社区同学光速投稿了 LMDeploy 高效量化部署 Llama 3,欢迎 Star。 https://github.com/internLM/LMDeploy ...
To install LLaMA Factory on Ascend NPU devices, please upgrade Python to version 3.10 or higher and specify extra dependencies: pip install -e ".[torch-npu,metrics]". Additionally, you need to install the Ascend CANN Toolkit and Kernels. Please follow the installation tutorial or use the follo...
step. I ranhuggingface-cli loginin the shell and then tried to run the code from the tutorial (either as a script or interactively in a notebook). In both cases I get the error: OSError: meta-llama/Llama-2-7b-chat-hf is not a local folder and is not a valid model identifier list...
python build.py --model /path/to/Llama-2-7b-chat-hf --target cuda --quantization q4f16_1 --artifact-path "./dist" --use-cache 0 --max-seq-len 1024 python benchmark.py 注意:LLama2默认输入长度是4096token,如果用build.py转模型的时候报错out of memory,可以使用参数指定模型输入长度 --max...
1.下载Tutorial for Llama2 还是在高通AIStack(1)-QAIRT 安装中建立的Docker环境来进行下面的操作。 qpm-cli --license-activate tutorial_for_llama2 qpm-cli --extract tutorial_for_llama2 2. 教程简介 可以从教程的READEME.md看到: 此文件夹/包包含Jupyter notebook、代码和文档,用于在基于snapdragon芯片设...