AI projects from Hugging Face

NV-Reason-CT

nvidia · Kit

Reads chest and abdominal CT volumes to write structured radiology reports, answer questions and explain its reasoning. For researchers and developers working…

NousCoder-14B

NousResearch · Kit

Writes code for competitive programming problems, a Qwen3-14B model trained further with reinforcement learning on 24k problems with checkable answers. For dev…

Qwen3.5-0.8B-weight-space-programming-GGUF by NotCherry

NotCherry · Kit

Packages the Qwen3.5-0.8B weight-space-programming model as GGUF files for llama.cpp, with a 4-bit text model and a separate vision projector for image input.

Comet 60B

MultiverseComputingCAI · Kit

A 61.1B multimodal model from Multiverse Computing, a compressed version of NVIDIA's Nemotron 3.5 Super that takes text, image and video and keeps about 12B pa…

Morphy1.1-Coder-Beta-7B-GGUF

moolvylabs · Kit

A 7.6B coding model from moolvylabs in GGUF form, released as a beta for testing and feedback. The card is short and gives no run steps, benchmarks or training…

Qwen3.6-35B-A3B-8bit (MLX)

mlx-community · Kit

8-bit MLX conversion of Qwen3.6-35B-A3B that reads text and images and answers in text, run with the mlx-vlm tool. For developers who want to run a large visio…

Qwen3.5-9B-OptiQ-4bit

mlx-community · Kit

A 4-bit mixed-precision MLX version of Qwen3.5-9B for local text generation on Apple Silicon, with a bundled multi-token prediction head. For Mac users who run…

Tess-4.5-27B GGUF

migtissera · Kit

GGUF builds of Tess-4.5, a 27B open-weights coding and agent model, for llama.cpp, with a vision projector and optional draft heads for faster generation. They…

GLM-5.3-Flash EXL3 3.5bpw

Mia-AiLab · Kit

Quantized copy of GLM-5.3-Flash in EXL3 format, 156 GB, with narrower routed experts, about 11 percent smaller than the same lab's 4-bit version. For people ru…

LongCat-Flash-Lite-Sparse

meituan-longcat · Kit

Mixture-of-experts text model with 69B parameters, about 3B active per token, sparse attention and a 1M-token context. For teams hosting long-context models fo…

LongCat-2.5-W4A4

meituan-longcat · Kit

Multimodal mixture-of-experts model for long agentic tasks such as codebase work, full project builds and creative design, in a compressed W4A4 build. For team…

Temper-2-Nodel

maylore-ai · Kit

Rust coding model of 4.2B parameters, built on Qwen3.5-4B, that answers requests in Russian and English. For Rust developers who want a small model for functio…

SpatialLM1.1-Qwen-0.5B

manycore-research · Kit

Reads 3D point clouds and writes a structured scene layout with walls, doors, windows and labelled object boxes. For researchers and developers working on robo…

llm-jp-4.1-33b-thinking

llm-jp · Kit

A 33.2B-parameter English and Japanese text generation model from the LLM-jp project. Post-trained with SFT and DPO, it has a 65,536-token context, Apache 2.0…

KAT-Coder-V2.5-Dev

Kwaipilot · Kit

An open-weight coding model from Kwaipilot, a mixture-of-experts with 35B total and 3B active parameters, tuned for agentic coding and fewer tool-call glitches…

Qwen3.8-27B-Fable-5-Coding-Distilled

khazarai · Kit

Debugs and reviews code by checking real files before it proposes a fix, a Qwen3.8-27B fine-tune trained on 195M tokens of reasoning traces. For developers who…

Slonik-27B-oQ8-mtp

kakoka · Kit

Helps write and change PostgreSQL source code with a 27B coding model, 8-bit quantized to run locally on Apple Silicon Macs through oMLX. For PostgreSQL develo…

Qwen3.8-27B-SLQ-GGUF

kaitchup · Kit

Compresses Qwen3.8-27B into three GGUF files with different size and fidelity levels, using a custom statistically lossless quantization. For people who run th…

Qwen3.8-27B-oQ6e-mtp

Jundot · Kit

A mixed-precision MLX copy of Qwen3.8-27B at about 6.9 bits per weight, with the vision encoder and multi-token prediction head included, for running locally o…

Qwen3.6-35B-A3B-oQ6e-mtp

Jundot · Kit

A mixed-precision MLX copy of Qwen3.6-35B-A3B at about 6.8 bits per weight, with the vision encoder and multi-token prediction head included, for running local…