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OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
General technology for enabling AI capabilities w/ LLMs and MLLMs
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
ModelArts-Lab是示例代码库。更多AI开发学习交流信息，请访问华为云AI开发者社区：huaweicloud.ai
Fine-Tuning Embedding for RAG with Synthetic Data
TigerBot: A multi-language multi-task LLM
✨✨Latest Advances on Multimodal Large Language Models
A high-throughput and memory-efficient inference and serving engine for LLMs
📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
AgentTuning: Enabling Generalized Agent Abilities for LLMs
基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等
Retrieval and Retrieval-augmented LLMs
LLM Reasoning and Generation Benchmark. Evaluate LLMs in complex scenarios systematically.
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.
finetune llama using huggingface SFT on MQuAD
High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.
Firefly: 大模型训练工具，支持训练Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型