Llama Recipes
利用可组合的 FSDP 和 PEFT 方法对 Llama2 进行微调的脚本,以覆盖单节点/多节点 GPU。支持用于摘要和问题解答等应用的默认和自定义数据集。支持多种坦率推理解决方案,如用于本地或云部署的 HF TGI、VLLM。「Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger」
Main metrics
Overview
Name With Owner | meta-llama/llama-cookbook |
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Primary Language | Jupyter Notebook |
Program language | (Language Count: 9) |
Platform | |
License: | MIT License |
Release Count | 5 |
Last Release Name | v0.0.5 (Posted on ) |
First Release Name | v0.0.2 (Posted on ) |
Created At | 2023-07-17 07:33:48 |
Pushed At | 2025-06-09 15:52:45 |
Last Commit At | |
Stargazers Count | 17454 |
Watchers Count | 190 |
Fork Count | 2513 |
Commits Count | 2154 |
Has Issues Enabled | |
Issues Count | 434 |
Issue Open Count | 19 |
Pull Requests Count | 370 |
Pull Requests Open Count | 33 |
Pull Requests Close Count | 108 |
Has Wiki Enabled | |
Is Archived | |
Is Fork | |
Is Locked | |
Is Mirror | |
Is Private |