base on [ACL 2024] Progressive LLaMA with Block Expansion. # <img src="assets/icon.png" width = "20" height = "40" alt="图片名称" align=center /> LLaMA Pro: Progressive LLaMA with Block Expansion <p align="center"> 📃 <a href="https://arxiv.org/abs/2401.02415" target="_blank">Paper</a> • 🤗 <a href="https://huggingface.co/TencentARC/LLaMA-Pro-8B" target="_blank">Demo & Model</a> </p> ## News * [2024/01/06] We open source the [LLaMA-Pro repository](https://github.com/TencentARC/LLaMA-Pro) and [Demo & Model](https://huggingface.co/TencentARC/LLaMA-Pro-8B). * [2024/01/07] Add how to run gradio demo locally in [demo](./demo/app.py) * [2024/01/18] Add the training code in [open-instruct](https://github.com/hills-code/open-instruct/tree/llama-pro). * [2024/02/23] We release the [Mistral-Pro-8B-v0.1](https://huggingface.co/TencentARC/Mistral_Pro_8B_v0.1) with superior performance on a range of benchmarks. It enhances the code and math performance of Mistral and matches the performance of the recently dominant model, [Gemma](https://huggingface.co/google/gemma-7b).  * [2024/02/23] We release the evaluation code of [Mistral-Pro-8B-v0.1](https://huggingface.co/TencentARC/Mistral_Pro_8B_v0.1) in [lm-evaluation-harness](https://github.com/hills-code/lm-evaluation-harness). * [2024/02/23] We release [MetaMath-Mistral-Pro](https://huggingface.co/TencentARC/MetaMath-Mistral-Pro) that surpasses previous MetaMath series 7B models at both GSM8k and MATH. The evaluation is following [the official MetaMath repo](https://github.com/meta-math/MetaMath). * [2024/05/08] Add the pre-train example script for cosmopedia in [open-instruct](https://github.com/hills-code/open-instruct/tree/llama-pro). * [2024/05/16] [LLaMA Pro](https://arxiv.org/abs/2401.02415) has been accepted to the main conference of ACL 2024! 🔥 Comprehensive Results | Model | GSM8k Pass@1 | MATH Pass@1 | |---------------------|--------------|-------------| | WizardMath-7B | 54.9 | 10.7 | | LLaMA-2-70B | 56.8 | 13.5 | | WizardMath-13B | 63.9 | 14.0 | | MetaMath-7B | 66.5 | 19.8 | | MetaMath-13B | 72.3 | 22.4 | | MetaMath-Mistral-7B | 77.7 | 28.2 | | MetaMath-Llemma-7B | 69.2 | 30.0 | | 🔥 **MetaMath-Mistral-Pro** | **78.4** | **30.3** | ## Acknowledgement The code of instruction tuning is based on the official implementation of [open-instruct](https://github.com/allenai/open-instruct). Thanks [huggingface](https://huggingface.co/TencentARC/LLaMA-Pro-8B) & [wisemodel](https://wisemodel.cn/models/TencentARC/LLaMA-Pro-8B) for hosting our checkpoint. ## Citation The code and model in this repository is mostly developed for or derived from the paper below. Please cite it if you find the repository helpful. ``` @article{wu2024llama, title={Llama pro: Progressive llama with block expansion}, author={Wu, Chengyue and Gan, Yukang and Ge, Yixiao and Lu, Zeyu and Wang, Jiahao and Feng, Ye and Luo, Ping and Shan, Ying}, journal={arXiv preprint arXiv:2401.02415}, year={2024} } ``` ", Assign "at most 3 tags" to the expected json: {"id":"6921","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"