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…
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…
Meanblock · Kit
Reads a decision from a small model's option probabilities on an ordinary laptop CPU, with no GPU and a browser interface. For developers who want quick routin…
MaziyarPanahi · Kit
Small decider that returns a calibrated probability for what an agent should do next and which tool it should call. For developers building agents and support…
MaziyarPanahi · Kit
Small judge model that returns a calibrated probability on whether a reply is backed by its source, whether text is unsafe, and which task or domain it belongs…
mayocream · Kit
Detects text, sound effects, speech bubbles and panels on manga pages, returning boxes and masks. For people building manga translation and cleanup tools with…
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…
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…
madebyollin · Kit
Previews FLUX.2 image generation in real time with a tiny autoencoder that shares the FLUX.2 VAE's latent format. For image app developers and people with limi…
lododoai · Kit
Runs as a local text model, a Qwen3.6-35B-A3B fine-tune trained on data written by Qwen3.8-27B and packed as one GGUF file for llama.cpp. For people who run mo…
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…
litert-community · Kit
Runs a small Gemma 4 model on phones, desktops, IoT boards and the web without an internet connection. A 3.66 GB LiteRT-LM build for developers who want privat…
Linkup-Platform · Kit
A 188M-parameter English sparse retrieval model from Linkup that turns queries and documents into weighted word lists for search. It scores 56.4 on BEIR, the b…
kyutai · Kit
A 100M-parameter text-to-speech model from Kyutai that runs on CPUs in six languages, streams audio with about 200 ms to the first chunk, and works from Python…
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…
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…
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…
jstarks · Kit
Google's Gemma 4 E4B-it with 0.002% of its weights edited directly, no training, to fix stalls in thinking mode with tool calls and multi-step math. Also ships…
JonusNattapong · Kit
Trades gold against the US dollar with three reinforcement learning models, market regime detection and risk rules. A research project for people who study tra…
jarrodwatts · Kit
A small weight edit for Qwen3.8-27B, with a script that applies it, that cuts the model's thinking length on open-ended tasks by changing a single matrix, with…
JamieBradfield · Kit
Calls tools and follows instructions with almost no thinking delay, as a 4.1B fine-tune of Spark-X2.6-4B. Made for people building fast local agents that need…
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…
intfloat · Kit
Turns text in about 100 languages into 1024-number vectors for search, matching and retrieval. A 560M-parameter embedding model from intfloat, built on xlm-rob…
incoai · Kit
Speeds up Qwen3.8-27B by drafting blocks of tokens that the main model then checks, with output unchanged. A 1.9B draft model for SGLang and vLLM servers, not…
inclusionAI · Kit
A 6B text-to-image model from inclusionAI for interface mockups, infographics, posters and other text-heavy designs, with transparent-background (RGBA) output.
inclusionAI · Kit
GGUF copy of inclusionAI's Ling-3.0-tiny, a small mixture-of-experts reasoning model with 7.9B total and 1.3B active parameters, for running locally at low cos…
IFM · Kit
A LoRA adapter that adds a diffusion pathway to IFM's K2-Horizon-7B language model, for research into faster text generation. It holds only the adapter, not th…
IFM · Kit
Quantized GGUF copies of IFM's K2-Horizon-7B text model for running locally in llama.cpp, from BF16 down to 4-bit, with a 512K-token context window.
ibm-granite · Kit
Reasons step by step before it answers, with tool calling, code generation and multilingual chat, in a compact 3B model from IBM. Supports a 128K context nativ…
HuggingFaceTB · Kit
Answers chat-style questions and handles rewriting and summaries with a 362M-parameter instruction-tuned model that runs on modest hardware. For developers who…
HuggingFaceTB · Kit
Continues English text from a prompt with a 135M-parameter base language model small enough to run on-device. For developers who want a tiny model to test idea…
HuggingFaceBio · Kit
Reads raw DNA inside a chat and answers in English, judging whether variants look benign or pathogenic, for researchers who want a DNA language model on their…
hotocooo · Kit
Writes Blender 5.x Python scripts that build clean, quad-dominant meshes such as props, furniture, products and human or animal base meshes. A 4B fine-tune of…
hiwaifu-research · Kit
A role-play chat model post-trained from Gemma 4 31B-IT that replies in the user's language, whether Russian, Spanish, English or Portuguese, and stays in it.…
hindsight-ai · Kit
Turns text into compact vectors for search and matching in eight languages, with inputs up to 8,192 tokens. A small 112M embedding model built for Hindsight, r…
Helsinki-NLP · Kit
Translates English text into Chinese, covering Mandarin and several other Chinese varieties, with a compact transformer model you run yourself. For developers…
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…
gribbliest · Kit
Re-renders a picture from a new camera angle, chosen with a short prompt, as an edit LoRA for Qwen Image 2.1. It suits artists and developers who edit images i…
Greatjedi · Kit
Runs a 27B Qwen3.8 model in GGUF files retuned for Intel Arc GPUs, with pure decode near 22 tokens a second in the author's tests. For people running llama.cpp…
gradium · Kit
Speaks English text through Arm's Compute Flow, from a 31M text-to-speech model packaged for the stock pocket-tts brick. For developers who use Compute Flow an…
gradium · Kit
Speaks English text aloud on a CPU from a 31M text-to-speech model in GGUF form, for the audio.cpp runtime. Made for developers who want a small local voice mo…
Glint-Research · Kit
Scores a reply to a prompt with one number, so you can rank candidate answers per prompt. A 49.4M reward model trained on 282,062 preference comparisons, for p…
ggml-org · Kit
Ranks passages by relevance to a query, as an 8-bit GGUF copy of the Qwen3 0.6B reranker made with llama.cpp. For developers who want a small local reranker fo…
ggml-org · Kit
Small 421M-parameter decision model in GGUF form that you serve locally and call through a systemone API. For developers who use llama.cpp tooling and want a c…
ggml-org · Kit
Makes decisions through the /v1/systemone API of a llama server, from a GGUF copy of a 4.2B model. For developers who want a small local decision model.
ggml-org · Kit
A GGUF-format copy of Google's gemma-4-E4B-it that you can run on your own computer with the Llama app or the llama serve command. For people who want Gemma ru…