31-day longest streak
Contact email: [email protected]
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textgen ★ PINNED
Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.
Python ★ 47k 1mo agoExplain → -
textgen-extensions ★ PINNED
No description.
★ 679 3mo agoExplain → -
unsloth ★ PINNED ⑂
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
Python ★ 0 2d agoExplain → -
one-click-installers ▣
Simplified installers for oobabooga/text-generation-webui.
Python ★ 566 2y agoExplain → -
GPTQ-for-LLaMa ⑂
4 bits quantization of LLaMa using GPTQ
Python ★ 130 3y agoExplain → -
oobabooga.github.io
No description.
HTML ★ 38 2mo agoExplain → -
flash-attention ⑂
Fast and memory-efficient exact attention - Windows wheels
Python ★ 36 1y agoExplain → -
llama-cpp-python-cuBLAS-wheels ⑂
Wheels for llama-cpp-python compiled with cuBLAS support
HTML ★ 27 1y agoExplain → -
stable-diffusion-ui ⑂
Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.
★ 25 3y agoExplain → -
llm-tools
Various scripts for working with local LLMs
★ 16 2y agoExplain → -
llama-cpp-binaries
llama.cpp server in a Python wheel.
Python ★ 15 1mo agoExplain → -
AI-Notebooks ⑂
No description.
Jupyter Notebook ★ 13 2y agoExplain → -
SillyTavern ⑂
LLM Frontend for Power Users.
★ 12 2y agoExplain → -
audiocraft-infinity-webui ⑂
No description.
Python ★ 12 3y agoExplain → -
EasyLM ⑂
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
★ 11 3y agoExplain → -
stable-diffusion-automatic ⑂
Stable Diffusion web UI
Python ★ 11 3y agoExplain → -
roop ⑂
one-click deepfake (face swap)
★ 10 3y agoExplain → -
transformers ⑂
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Python ★ 9 2y agoExplain → -
gradio ⑂
Create UIs for your machine learning model in Python in 3 minutes
Python ★ 8 1mo agoExplain → -
FlexGen ⑂
Running large language models on a single GPU for throughput-oriented scenarios.
★ 8 3y agoExplain → -
exllamav2 ⑂
A fast inference library for running LLMs locally on modern consumer-class GPUs
Python ★ 8 1y agoExplain → -
character-editor ⑂
Create, edit and convert AI character files for CharacterAI, Pygmalion, Text Generation, KoboldAI and TavernAI
★ 7 3y agoExplain → -
llama-cpp-python-basic ⑂
Python bindings for llama.cpp
Python ★ 7 1y agoExplain → -
torch-grammar ⑂
No description.
★ 7 2y agoExplain → -
chatbot-ui ⑂
An open source ChatGPT UI.
★ 6 2y agoExplain → -
quip-sharp ⑂
No description.
Python ★ 6 2y agoExplain → -
simple_memory ⑂
An extension to Oobabooga to add a simple memory function for chat
Python ★ 6 3y agoExplain → -
screenshots
No description.
★ 5 2mo agoExplain → -
alpaca_lora_4bit ⑂
No description.
Python ★ 5 3y agoExplain → -
stanford_alpaca ⑂
Code and documentation to train Stanford's Alpaca models, and generate the data.
★ 5 3y agoExplain → -
alpaca-lora ⑂
Instruct-tuning LLaMA on consumer hardware
★ 5 3y agoExplain → -
ChatRWKV ⑂
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
Python ★ 5 3y agoExplain → -
bitsandbytes-windows-webui ⑂
Windows compile of bitsandbytes for use in text-generation-webui.
HTML ★ 5 2y agoExplain → -
whisper ⑂
Robust Speech Recognition via Large-Scale Weak Supervision
Python ★ 5 2y agoExplain → -
stable-diffusion-webui ⑂
Stable Diffusion web UI
Python ★ 5 3y agoExplain → -
oobabooga-one-click-bandaid ⑂
A simple batch file to make the oobabooga one click installer compatible with llama 4bit models and able to run on cuda
Batchfile ★ 4 3y agoExplain → -
AutoGPTQ ⑂
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
Python ★ 4 2y agoExplain → -
minigpt-4-pipeline ⑂
No description.
Python ★ 4 3y agoExplain → -
llama ⑂
Inference code for LLaMA models
Python ★ 4 3y agoExplain → -
peft ⑂
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
★ 4 3y agoExplain → -
pytorch-to-safetensor-converter ⑂
A simple converter which converts pytorch bin files to safetensor, intended to be used for LLM conversion.
★ 4 3y agoExplain → -
llama.cpp ⑂
Port of Facebook's LLaMA model in C/C++
C++ ★ 3 5d agoExplain → -
GPTQ-for-LLaMa-CUDA ⑂
A combination of Oobabooga's fork and the main cuda branch of GPTQ-for-LLaMa in a package format.
Python ★ 3 2y agoExplain → -
AutoAWQ ⑂
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
Python ★ 3 1y agoExplain → -
gptq ⑂
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
★ 3 3y agoExplain → -
BlockMerge_Gradient ⑂
Merge Transformers language models by use of gradient parameters.
Python ★ 2 2y agoExplain → -
exllamav3 ⑂
An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs
Python ★ 2 10mo agoExplain → -
test-repo
No description.
★ 2 1y agoExplain → -
mtj-softtuner ⑂
Create soft prompts for fairseq 13B dense, GPT-J-6B and GPT-Neo-2.7B for free in a Google Colab TPU instance
★ 2 3y agoExplain → -
g-diffuser-bot ⑂
Discord bot for diffusers (Stable Diffusion)
★ 2 3y agoExplain → -
GPTQ-for-LLaMa-Wheels ⑂
Precompiled Wheels for GPTQ-for-LLaMa
★ 2 3y agoExplain → -
llamacpp-python ⑂
Python bindings for llama.cpp
★ 2 3y agoExplain → -
stable-diffusion-hlhl ⑂
No description.
★ 2 3y agoExplain → -
unsloth-zoo ⑂
Utils for Unsloth https://github.com/unslothai/unsloth
Python ★ 1 5d agoExplain → -
oobabooga
No description.
★ 1 1mo agoExplain → -
llama-cpp-wrapper
No description.
★ 1 1y agoExplain → -
AutoAWQ_kernels ⑂
No description.
Cuda ★ 1 1y agoExplain → -
bitsandbytes ⑂
8-bit CUDA functions for PyTorch
★ 1 2y agoExplain → -
ik_llama.cpp ⑂
llama.cpp fork with additional SOTA quants and improved performance
C++ ★ 0 1mo agoExplain → -
pygments-css ⑂
css files created from pygment's built-in styles
★ 0 3y agoExplain →
No repos match these filters.