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Highlights
llm
Awesome-LLM: a curated list of Large Language Model
📋 A list of open LLMs available for commercial use.
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
TigerBot: A multi-language multi-task LLM
XVERSE-13B: A multilingual large language model developed by XVERSE Technology Inc.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
A series of large language models developed by Baichuan Intelligent Technology
A series of code large language models developed by PKU-KCL
a state-of-the-art-level open visual language model | 多模态预训练模型
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
An Open-sourced Knowledgable Large Language Model Framework.
BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)
OpenChat: Advancing Open-source Language Models with Imperfect Data
Salesforce open-source LLMs with 8k sequence length.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型
Home of StarCoder: fine-tuning & inference!
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting