From 823d2616a6117d4f5955f087ee107b77b3646496 Mon Sep 17 00:00:00 2001 From: shizhediao <654745845@qq.com> Date: Wed, 20 Sep 2023 05:14:12 +0800 Subject: [PATCH] update qrcode --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 9a814319c..300a382a4 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ [![Doc](https://img.shields.io/badge/Website-Doc-ff69b4.svg)](https://optimalscale.github.io/LMFlow/) [![Embark](https://img.shields.io/badge/Discord-LMFlow-%237289da.svg?logo=discord)](https://discord.gg/u9VJNpzhvA) [![slack badge](https://img.shields.io/badge/Slack-Join-blueviolet?logo=slack&)](https://join.slack.com/t/lmflow/shared_invite/zt-1wju9nicy-woXbNtS~5MavHSAtiMxmxQ) -[![WeChat badge](https://img.shields.io/badge/WeChat-Join-brightgreen?logo=wechat&)](https://i.ibb.co/JvXwWg9/Wechat-IMG1110.jpg) +[![WeChat badge](https://img.shields.io/badge/WeChat-Join-brightgreen?logo=wechat&)](https://i.ibb.co/kKvGhPr/Wechat-IMG1129.jpg) An extensible, convenient, and efficient toolbox for finetuning large machine learning models, designed to be user-friendly, speedy and reliable, and accessible to the entire community. @@ -31,11 +31,11 @@ An extensible, convenient, and efficient toolbox for finetuning large machine le ## Latest News -* [2023-09-11] Support [speculative decoding](https://arxiv.org/abs/2211.17192). Check out [speculative_decoding](https://github.com/OptimalScale/LMFlow/blob/main/scripts/speculative_decoding/README.md) for the usage and acceleration details. +* [2023-09-11] :rocket: Support [speculative decoding](https://arxiv.org/abs/2211.17192). Check out [speculative_decoding](https://github.com/OptimalScale/LMFlow/blob/main/scripts/speculative_decoding/README.md) for the usage and acceleration details. :rocket: * [2023-08-14] Support long context inference with position interpolation (Linear & NTK scaling ) for LLaMA models. Check out [postion_interpolation](https://github.com/OptimalScale/LMFlow/blob/main/readme/Position_Interpolation.md) for more details. * [2023-08-07] Support [Flash Attention-2](https://crfm.stanford.edu/2023/07/17/flash2.html). Check out [flash_attention](https://github.com/OptimalScale/LMFlow/blob/main/readme/flash_attn2.md) for more details. * [2023-08-02] Support [Llama2](https://ai.meta.com/llama/), [ChatGLM2](https://huggingface.co/THUDM/chatglm2-6b), and [Baichuan](https://huggingface.co/baichuan-inc/Baichuan-7B) models. -* [2023-07-23] :rocket: [LMFlow multimodal chatbot](https://github.com/OptimalScale/LMFlow/blob/main/scripts/run_vis_chatbot_gradio_minigpt4.sh) is now available! Support multimodal inputs of images and texts. [Online Demo](http://multimodal.lmflow.online) is also provided (We hold the service on a single GPU, hence one may experience "queuing" or "application busy" sometimes when multiple users are accessing at the same time, please wait and attempt again later when such event happens) :rocket: ![image](https://github.com/OptimalScale/LMFlow/blob/rpan-vision-encoder/assets/multimodal-chatbot-demo.gif) +* [2023-07-23] [LMFlow multimodal chatbot](https://github.com/OptimalScale/LMFlow/blob/main/scripts/run_vis_chatbot_gradio_minigpt4.sh) is now available! Support multimodal inputs of images and texts. [Online Demo](http://multimodal.lmflow.online) is also provided (We hold the service on a single GPU, hence one may experience "queuing" or "application busy" sometimes when multiple users are accessing at the same time, please wait and attempt again later when such event happens)![image](https://github.com/OptimalScale/LMFlow/blob/rpan-vision-encoder/assets/multimodal-chatbot-demo.gif) * [2023-06-22] [LMFlow paper](https://arxiv.org/abs/2306.12420) is out! Check out our implementation details at https://arxiv.org/abs/2306.12420 * [2023-06-16] Our finetuned Robin-33B-V2 scored an impressive 64.1 on the Huggingface LLM leaderboard in our offline evaluation, outperforming major open-source LLMs! All checkpoints (7B, 13B, 33B, and 65B) are [released](https://huggingface.co/OptimalScale)! Checkout the performance [here](https://medium.com/@hkust.ml/robin-v2-launches-achieves-unparalleled-performance-on-openllm-4f6886e822c1). * [2023-06-07] LMFlow is now officially available on PyPI! Install it with `pip install lmflow-finetune`!