OneJev1.6-27B
OmniJev · Kit
Reads a screenshot, photo, video or text plus your typed questions and returns a probability for each answer option, such as what an agent should do next or wh…
OmniJev · Kit
Reads a screenshot, photo, video or text plus your typed questions and returns a probability for each answer option, such as what an agent should do next or wh…
OmniJev · Kit
Answers typed questions about a screenshot, photo, video or text with a probability for each option. It suits developers who need fast decisions in an agent lo…
omlab · Kit
Finds and points at objects in images by choosing among candidate regions, and answers None when the target is absent. For drone, robot and surveillance camera…
nvidia · Kit
Reads chest and abdominal CT volumes to write structured radiology reports, answer questions and explain its reasoning. For researchers and developers working…
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…
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.
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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
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…
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…
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.…
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…
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
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…
ggml-org · Kit
Runs Google's gemma-4-12B-it on your own computer as a GGUF file that ggml-org converted automatically, through the Llama app or the llama command. It suits pe…
ggml-org · Kit
GGUF files of DeepSeek's 748B V4.1 Flash 1017 model, converted by ggml-org with a vision file for images, for people with big-memory machines who run models th…
FINAL-Bench · Kit
Runs a Korean-tuned 35B model on your own PC from GGUF files with llama.cpp, with a CPU-only path so no GPU is needed. For people who want a local language mod…
ErtasAI · Kit
Serves a medical-domain language model, a compressed Gemma 4 31B, on vLLM and NVIDIA Blackwell GPUs. Built for medical AI products that need fast, low-cost ans…
Egzakta · Kit
Runs the 27B KVARK Sparkle 1.1 model from GGUF files in several sizes, with optional image input and speculative decoding. For people running models locally wi…
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…
Egzakta · Kit
GGUF files of KVARK Sparkle 1.0, a 27B vision-language model, for llama.cpp, Ollama and LM Studio, with the speculative-decoding head kept. For people running…
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…
divagr1925 · Kit
A Qwen3.5-4B model with a small RISC-V computer built into its weights, used for exact arithmetic and for running a tiny story model. An experiment for researc…
divagr1925 · Kit
An experimental Qwen3.5-4B with a RISC-V CPU and a small filesystem compiled into its weights, so it remembers facts across sessions without outside tools. The…
deep-principle · Kit
A 4-bit NVFP4 build of Hydrogen-1.0, a 381B science and research assistant model from Deep Principle, based on GLM-5.3. It needs a multi-GPU NVIDIA Blackwell s…
deep-principle · Kit
An MXFP4 quantized copy of Deep Principle's 384B Hydrogen-1.0 science assistant, for AMD Instinct hardware. For labs that want a text model for scientific ques…
DavidAU · Kit
A GGUF build of Qwen3.8-Flash-Next by DavidAU with 27 reasoning modes, 27 instruct modes and 15 AI personas you switch on from the prompt. For people with larg…