Qwen3.6-35B-A3B-MTP-GGUF
unsloth · Kit
Runs Qwen3.6-35B-A3B locally from Unsloth's GGUF files with multi-token prediction for faster decoding in llama.cpp. Suits developers who want a local agentic…
unsloth · Kit
Runs Qwen3.6-35B-A3B locally from Unsloth's GGUF files with multi-token prediction for faster decoding in llama.cpp. Suits developers who want a local agentic…
Qwen · Kit
Gives researchers and developers a pre-trained 9B base model with a vision encoder, meant for fine-tuning and experiments rather than direct chat. Handles text…
ML-Intern-lab · Kit
Solves math problems step by step with a small Qwen3.5-0.8B model whose weights an LLM edited directly, with no training, to stop repetition loops. For researc…
Jackrong · Kit
Helps with coding and tool-using agent work as a GGUF fine-tune of Qwen3.8-27B, trained on about 200,000 code, agent and reasoning examples. For developers who…
google · Kit
Handles text, image and audio input and writes text, with a 128K-token context and support for over 140 languages. The smallest instruction-tuned Gemma 4 model…
unsloth · Kit
Unsloth's GGUF quantized copy of Qwen3.5-9B, a mid-size model that reads images and text and answers in text, for people running models locally.
openbmb · Kit
A 1.3B model from OpenBMB that reads documents in English and Chinese, parsing text, tables, formulas, charts and seals and pulling out key fields.
google · Kit
Google DeepMind's E4B model from the Gemma 4 family, an open model that takes text, images and audio and writes text, built to run on laptops and phones.
Cloudflare · Kit
Turns a state and a set of typed questions into decisions, returning a probability for every option of every question in one pass, with no free text. A 9B mult…
beipo-ai · Kit
Reads screenshots and requests, then writes reasoning and tool calls for an agent that drives a desktop or browser. For teams with a large GPU setup who build…
XiaomiMiMo · Kit
A 9B agentic model from Xiaomi MiMo, fine-tuned from Qwen3.5-9B for coding, agent tasks, visual coding and cybersecurity, released as a starting point for rese…
qvac · Kit
A small 0.8B model for function calling and agent workflows, built on Qwen3.5-0.8B and light enough to run on a device, for developers who want a local assista…
nvidia · Kit
Reads page images of scans, PDFs, slides and forms and returns their text, tables, chart data, reading order and boxes as Markdown, HTML or JSON. A 631M-parame…
higa2515 · Kit
Runs Qwen3.8-27B with sparse attention from GGUF files in Q8_0 and Unsloth Q4, Q5 and Q6 mixes, with text, image and video input. For Linux users with NVIDIA G…
Cloudflare · Kit
Cloudflare's 27B multimodal model that scores the allowed answers to typed questions about a text, JSON, image or video input, instead of writing free text.
AtomicChat · Kit
Runs Nous Research's Arete 27B, a Qwen3.8-27B fine-tune that reads text and images, from GGUF files in six sizes with measured quality losses. For people runni…
Teriminal-RSI · Kit
Works through multi-step terminal tasks such as inspecting a repository, editing code and repairing dependencies. A 27.8B-parameter agent model built on Qwen3.…
tencent · Kit
Finds, counts, points to, reads and segments objects in images, and makes alpha mattes, with one 4B vision-language model from Tencent. For researchers working…
google · Kit
Google's Gemma 4 12B Unified model, an open model that reads text, images, audio and video and writes text, with a 256K context and no separate encoders. For d…
unsloth · Kit
Runs Qwen3.6-35B-A3B, a mixture-of-experts model that reads images and text and uses about 3B parameters per token, from Unsloth GGUF files. For developers who…
thinkingmachines · Kit
Reads text, images and audio and replies in text, for developers building assistants, coding tools and agents. A sparse mixture-of-experts model with 276B para…
Qwen · Kit
Handles text, images and video with FP8-quantized weights of Qwen3.8-27B, a 27B dense model with adjustable thinking. For developers serving it with transforme…
google · Kit
Instruction-tuned Gemma 4 model from Google that reads text and images and writes text, with configurable thinking, function calling and a context window of up…
Qwen · Kit
Reads images and text and replies in text, in a small 873M model from Qwen. For developers and researchers who want a light multimodal base to prototype with o…
Cactus-Compute · Kit
Provides prebuilt runtime binaries that run text, speech and vision models locally on phones, laptops, servers and browsers. For developers who ship on-device…
DavidAU · Kit
Runs Qwen3.8-27B in GGUF form with a set of reasoning and instruct modes you switch from your prompt. For people who run local models and like to tune how the…
Qwen · Kit
Handles text and image input with a 4B hybrid model that supports 201 languages and dialects and a 262,144-token context. For developers running small open wei…
meta-models · Kit
Reads text and images and carries out agent tasks such as tool calls and multi-step reasoning on a local machine, in a 30B model distilled from Muse Spark. For…
baselabs · Kit
Answers a set of questions about a situation in one pass and returns a calibrated probability for each option. A 27B decision model from Base Labs at Baseten,…
xiaomi-research · Kit
Parses documents and answers questions about text in images with one 0.8B OCR model from Xiaomi, covering tables, formulas and handwriting. For developers buil…
169Pi · Kit
Reads text, images and video and handles reasoning and coding with a 9B open-weight model built on Qwen3.5-9B, with GGUF builds for light hardware. For develop…
Qwen · Kit
Helps with coding, repository-level reasoning and image-plus-text input using a 35B mixture-of-experts model that activates 3B parameters. For developers runni…
byteshape · Kit
Runs Qwen3.8-27B as GGUF files quantized by ByteShape's ShapeLearn, in five GPU-sized options with vision input and MTP speculative decoding in llama.cpp. For…
Axion1-0 · Kit
A reproduction checkpoint of Axion 1.0-35B, a 35B mixture of experts model for scientific reasoning, information seeking and tool using problem solving, served…
Sparset · Kit
A Qwen3.8-27B variant that reasons with far fewer tokens, so final answers arrive about twice as fast at high effort. For people who run reasoning models and w…
Qwen · Kit
A 9B open model from Qwen that reads text and images and writes text, with a long context and support for 201 languages and dialects. For developers who want a…
unsloth · Kit
Unsloth's GGUF quantizations of DeepSeek-V4.1-Flash-1017, a huge image-and-text model, for running locally on a machine with 128 GB or more of RAM. For people…
ISTA-DASLab · Kit
A coding-focused GGUF build of Qwen3.8-Flash-Next with half its experts removed, cutting 354 GB at BF16 to 58.4 GB while keeping image input. For people with l…
RikiyaT · Kit
Qwen3.5-0.8B with two weight matrices edited by an LLM, with no training, to stop its thinking loops and do better at math. An experimental model for researche…
google · Kit
An instruction-tuned 31B model from Google DeepMind that reads text and images and writes text, with a 256K context and configurable thinking. For developers w…
ISTA-DASLab · Kit
GGUF versions of Qwen3.8-Flash-Next at four sizes, with each tensor quantized at its own precision and a vision projector for image input. For people running a…
ISTA-DASLab · Kit
An expert pruned and quantized GGUF of DeepSeek-V4.1-Flash-1017 from ISTA-DASLab, aimed at code and agent work, with transformer weights of 72.1 GB. Suits deve…
baidu · Kit
Parses document images and multi-page PDFs into text with a 3.3B vision-language model from Baidu. For developers who add OCR and document parsing to their own…
BAAI · Kit
Improves its own solutions over several rounds of propose, measure, reflect and revise, using a 27B model from BAAI. For agent researchers and developers worki…
nex-agi · Kit
Handles computer use, coding and long tool-driven tasks as a multimodal agentic model built on GLM-5.3-Flash, in FP8 weights of about 321B parameters. For team…
baidu · Kit
Baidu's 3.3B document parsing model for long documents, using SR-SWA attention to keep decoding cost nearly flat, with Transformers and SGLang routes. Suits te…
zai-org · Kit
zai-org's natively multimodal GLM-5 series model with 320B total and 18B active parameters, with a hybrid sparse and linear attention design and a thinking bud…
deepseek-ai · Kit
DeepSeek's multimodal mixture of experts model with a 552B backbone and a one million token context, built to cut KV cache cost for long input agent work. Suit…
maritaca-ai · Kit
Maritaca AI's small Portuguese and English model built on Qwen3.5-4B, with Think and Instruct modes and strong tool use, in BF16 for vLLM and SGLang. Suits dev…
ISTA-DASLab · Kit
ISTA-DASLab's GGUF versions of Qwen3.8-27B in four sizes, each tensor quantized at its own precision, with a vision projector for images. Suits people who run…