GitHub Repository
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Deploy multi-agent workflows as APIs.
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Code and documentation to train Stanford's Alpaca models, and generate the data.
A 7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca.
BigScience Large Open-science Open-access Multilingual Language Model
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
An Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.
ChatGLM2-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B.
An Open Bilingual Pre-Trained Model (ICLR 2023)
A Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
StableLM: Stability AI Language Models
A frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.
produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image.
A latent text-to-image diffusion model
Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects.
A continuous diffusion-based Vision-Language-Action model that integrates diffusion policies into autoregressive VLMs for robust and precise continuous robotic control.
A central community library by Hugging Face for AI in robotics — end-to-end learning tools, data pipelines, and support for training/deploying VLA models.
A transformer-based generalist robot policy pretrained on 800K+ robot trajectories from the Open X-Embodiment dataset. Supports language instructions, goal images, and fine-tuning to new embodiments.
Open-source VLA models from Physical Intelligence, including π₀ and π₀.5 — flow-based vision-language-action models pretrained on large-scale robot data with fine-tuning support.
A 7B-parameter open-source Vision-Language-Action model trained on 970K+ robot demonstrations from the Open X-Embodiment dataset for generalist robotic manipulation.
An efficient VLA model leveraging State Space Models (Mamba) instead of standard self-attention, offering linear inference complexity for efficient, recurrent robotic reasoning.
Alpaca-LoRA as Chatbot service
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
fast inference engine for Transformer models in C++
serving the OpenAI CLIP model
fast inference engine for whisper in C++ using CTranslate2.