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…
nvidia · Kit
Reads chest and abdominal CT volumes to write structured radiology reports, answer questions and explain its reasoning. For researchers and developers working…
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…
microsoft · Kit
A compact coding agent model that works through a repository, finds bugs, edits files and runs tests with a five-tool framework called Leaf. Made for developer…
microsoft · Kit
A computer use agent model from Microsoft Research that reads browser screenshots and picks the next click, typing or scroll to finish web tasks. It suits deve…
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…
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…
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…
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…
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…
Jackrong · Kit
Trims wasted reasoning in long agent tasks, as a GGUF build of the second Flash fine-tune of Qwen3.8-27B with better Python formatting. For people who run agen…
Jackrong · Kit
Writes code, calls tools and works through software tasks as a coding agent. A 27.8B fine-tune of Qwen3.8-27B by Jackrong, trained on about 200,000 code and re…
ironbcc · Kit
A 9B decision model based on Qwen3.5-9B. You give it a situation, a question and options, and it returns how likely each option is, in one pass with no text ge…
Hcompany · Kit
Looks at screenshots and decides the next click, keystroke, code run or tool call, built on Qwen3.8-27B. A computer-use model for web, desktop and mobile agent…
Egzakta · Kit
A 27B model tuned for document work: it searches a document base, answers from what it finds and says so when the answer is missing, for builders of document a…
Divij · Kit
Rewrites decompiler output into readable C source with meaningful names and proper types. A Qwen3.5-4B fine-tune trained on unoptimized binaries, for security…
GGUF fine-tune of a 27B Qwen model by DavidAU, with switchable instruct and reasoning modes and a built-in help system. Hugging Face lists it as image text to…
Answers questions and reads images with much shorter thinking. GGUF builds of a 27B Qwen 3.8 tune from DavidAU that aims to cut reasoning tokens while keeping…
cyankiwi · Kit
A 4-bit AWQ quantization of Qwen3.8-27B by cyankiwi, a 27B vision-language model with thinking control. Weights are 21.02 GB and load in Transformers, vLLM or…
bespokelabs · Kit
Gives a probability for every answer option when you pass a context and typed questions such as choices, yes or no, or ordered scores. A fine-tune of Qwen3.8-2…
beipo-ai · Kit
Operates desktop and browser apps from screenshots with a 9B dense computer-use model built on Qwen3.5. Suits developers who build computer-use agents with the…
agentionai · Kit
Gives shorter, more direct answers than Qwen3.8-27B by using fewer answer and thinking tokens, so replies finish sooner. A light fine-tune that drops into the…
xtools-at · Kit
Writes and explains code and works through reasoning problems, from a weighted merge of three Qwen3.8-27B fine-tunes. For developers who want one general-purpo…
sky7350 · Kit
A 4B classifier built on Qwen3.5-4B that reads an input and returns a probability for each allowed answer, for guardrails, routing, triage and agent gates. For…
Qwen · Kit
Gives researchers a pre-trained-only vision-language base model for fine-tuning and in-context learning experiments, not for direct chat. Suits developers who…
ornith-ai · Kit
Handles coding and terminal tasks as a 9B dense language model sized for a single GPU. For developers who want a small open model for software work, with a mob…
mradermacher · Kit
Static GGUF quantizations of ccore/Qwen3.5-4B-GLB-3D-Coder, a 4.2B model, in sizes from 2.0 GB to 8.5 GB, plus two small multi-modal supplement files. Made by…
mradermacher · Kit
GGUF quantized files of BAAI's AREX-2, a 26.9B model, from 2-bit to 8-bit with an optional multi-modal supplement. They suit people who run a large model local…
jmc0 · Kit
Drives game characters that hold a conversation, take in-game actions such as selling an item or calling guards, and stay in character under pressure. For game…
IndexTeam · Kit
Translates text between 150 languages and follows instructions about glossaries, formatting, tone and length. A compact 2.3B model from IndexTeam for teams tha…
flechin · Kit
A 27B reasoning model tuned to answer plainly instead of hedging, quantized to MXFP4 so vLLM can serve it on a single 32 GB GPU, for developers who run local r…
datalab-to · Kit
Reads text from images and PDFs and returns markdown, HTML or JSON that keeps the page layout. Handles handwriting, forms, tables and math in 90+ languages, fo…
black-forest-labs · Kit
A 9B model that turns a short image request, up to 10 reference images and optional bounding boxes into one detailed prompt for FLUX 3 Image Klein. For editing…
ragentile · Kit
Reinforcement-learning tuned model for writing and speeding up GPU kernels, trained from a Qwen base with compile, correctness and timing feedback. For develop…
Qwen · Kit
A 27B Qwen model that reads text and images and replies in text, tuned for coding agents and repository-level work, for developers who run it with the transfor…
nightmedia · Kit
An experimental 9.4B image-and-text model made by nightmedia, a merge of three 9B models aimed at reasoning and science questions. It suits hobbyists and resea…
mradermacher · Kit
Weighted GGUF quantizations of BAAI/AREX-2, a 26.9B vision model, in about two dozen sizes from 7.2 GB to 22.2 GB, plus an imatrix file for making your own qua…
baselabs · Kit
Returns calibrated probabilities for yes-or-no, multiple-choice and scored questions about a text or an image, from one 2B model. For teams that route, triage…
bartowski · Kit
GGUF quantizations of Jackrong's Qwopus3.8-27B-Coder-Flash, made by bartowski with an importance matrix, in sizes from 17 GB to 55 GB. For running a 27B model…
Asteromorph · Kit
Scores how relevant each document is to a search query, with optional context, to reorder search results. A 4B open-weights reranker for science and general se…
vllm-sr · Kit
A 9B model that answers several choice, yes or no and score questions about text, images or video in one call, returning a probability for every answer instead…
vllm-sr · Kit
Answers choice, yes-or-no and score questions about text, images or video in one call, returning a probability for each answer instead of text. A 27B decision…
unsloth · Kit
GGUF copies of Qwen3.5 9B that support multi-token-prediction speculative decoding in llama.cpp for faster generation. For people running the model locally who…
tcmofashi · Kit
Plays a persona in Chinese QQ group chats by reading the chat history and writing one short, casual reply with no visible reasoning. A merged 9B fine-tune of Q…
Qwen · Kit
Reads text and images and writes text, as a 27B Qwen model with a vision encoder and a 262,144-token native context. For developers who build assistants and ag…
openbmb · Kit
Scores how likely an OCR result for a text, formula or table region is correct, from 0 to 1. For teams that auto-accept good results, send the rest to review o…
mlx-community · Kit
4-bit MLX conversion of Qwen3.8-27B that reads text and images and answers in text, run with the mlx-vlm tool. For developers who want to run a vision-language…
FirstPrinciplesLabs · Kit
A 9B reasoning model for physics, science and maths, fine-tuned from Qwen3.5-9B by FirstPrinciples. For researchers who want step-by-step derivations and a sec…
ErtasAI · Kit
Open-weight medical language model squeezed to 22 GB, best at clinical calculations and facts from long patient records. For teams building medical AI products…
bytkim · Kit
A 27B coding model tuned for the Pi agent framework, trained to read a repository, edit files, run tools and use their feedback, with adjustable reasoning effo…
vllm-sr · Kit
Answers many questions about one text, image or video input at once, with a probability for each answer and no generated text. A 27B multimodal decision model…