AI projects from Hugging Face

Mellum2.1-12B-A2.5B-Thinking-GGUF

JetBrains · Kit

Runs JetBrains' 12B reasoning model locally in llama.cpp, Ollama or LM Studio, with five GGUF sizes to pick from. For developers who want a thinking model with…

Axion-1.0-35B-APEX-I-MiniPlus-V2.1-GGUF

IsValorum · Kit

Runs the 35B Axion-1.0 model locally in llama.cpp from one compressed GGUF file with mixed precision. A quantized release by IsValorum for people who want a la…

SmolLM2-135M-Instruct

HuggingFaceTB · Kit

Answers chat-style questions and handles rewriting and summaries with a 135M-parameter instruction-tuned model small enough for on-device use. For developers w…

SmolLM2-1.7B-Instruct

HuggingFaceTB · Kit

Chats, rewrites and summarizes text and can call functions, in a compact 1.7B model small enough to run on-device. The instruction-tuned SmolLM2 from HuggingFa…

gpt-oss-20b-GGUF by ggml-org

ggml-org · Kit

Generates text on your own computer from a GGUF copy of OpenAI's gpt-oss-20b, packaged by ggml-org. For people who want to run an open 20B model locally in the…

Qwen3.8-27B-Ridge-GGUF

empero-ai · Kit

Runs Qwen3.8-27B as a compact 3.7 bits-per-weight GGUF file that suits a 16 GB GPU, with optional image input. For people running models locally with llama.cpp…

Qwen3.6-35B-A3B 2-bit GSQ GGUF

chtisgit · Kit

Runs a 35B Qwen model in a 2-bit GSQ GGUF conversion with a separate vision projector for llama.cpp. For people who want a large model in a small file on CPU o…

Qwen3.6-35B-A3B GGUF (ShapeLearn Quantized)

byteshape · Kit

Quantized GGUF versions of Qwen3.6-35B-A3B that read images and text, with CPU and GPU variants from about 9 GB, made with ByteShape's ShapeLearn. For develope…

Spark-X2.6-4B GGUF

bartowski · Kit

Small English and Chinese chat model as GGUF files from full bf16 down to about 2.4 GB, for llama.cpp, with a low or high thinking setting. For developers who…

Qwen3.6-35B-A3B-coding-reap50-GGUF

anik-jha · Kit

Writes code with Qwen3.6-35B-A3B cut to half its experts and packed as GGUF files for llama.cpp. Made for developers who want a coding model that fits in less…

Spark-X2.6-4B-DSpark-GGUF

XHToken · Kit

Speeds up text generation for Spark-X2.6-4B as a small draft model for speculative decoding, in GGUF format. Meant for people running that model locally with l…

DeepSeek-V4.1-Flash-1017-exl3

turboderp · Kit

Runs a compressed DeepSeek-V4.1-Flash-1017 in ExLlamaV3 at 1.68, 2.25 or 2.68 bits per weight. For people who run large models on their own hardware and want l…

Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium

SolsticeAI · Kit

Offers GGUF quantizations of the 33.1B Nanbeige4.3 model for llama.cpp and Ollama, with a reasoning protocol and up to 524,288 tokens of context. For developer…

Qwen2.5-1.5B-Instruct-GGUF

Qwen · Kit

Gives you the small Qwen2.5 1.5B chat model as GGUF files in eight quantization sizes, for running with llama.cpp on a laptop or modest GPU. For people who wan…

Ornith-1.5-35B-A3B-GSQ-RCO-GGUF

pfeifferj · Kit

Shrinks the Ornith-1.5-35B-A3B text model to 3-bit and 3.5-bit GGUF files, about 13 and 15 GB instead of 69 GB, for people who run local models with llama.cpp.

MiniCPM5-2B-GGUF

openbmb · Kit

Gives you MiniCPM5-2B, a small dense text model for English and Chinese, as GGUF files for on-device and local use. Suits people who want a compact model for c…

ttf-Qwen3.8-Flash-Next-GGUF

oguzeldereli · Kit

Runs Qwen3.8-Flash-Next, a 180B mixture-of-experts model squeezed to ternary weights, from one 40.4 GB GGUF file that is 4.6 times smaller than the FP8 release…

Hermes-3-Llama-3.1-8B-GGUF

NousResearch · Kit

Runs Hermes 3, an 8B general-purpose chat model from NousResearch, as a quantized GGUF file for llama.cpp. Suits people who want a local assistant with functio…

Hermes 3 Llama-3.1 8B

NousResearch · Kit

An 8B general-purpose chat model from Nous Research, built on Llama 3.1, with function calling, structured output, role play and code help. It suits developers…

Qwen3.8-27B-GGUF by bartowski

bartowski · Kit

A set of GGUF quantizations of Qwen3.8-27B by bartowski, from Q8_0 down to 3-bit, made with an importance matrix. For people running a 27B vision-language mode…