AI skills and agents for developers

Qwen3.6-35B-A3B MTP GGUF

byteshape · Kit

Runs Qwen3.6-35B-A3B from a GGUF quantization with Multi-Token Prediction for faster GPU decoding in llama.cpp. Made by ByteShape for people running local mode…

Nimble-v4-max

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…

Bespoke-Nimble-9B

bespokelabs · Kit

Scores yes or no questions, multiple-choice picks and rubric levels against a piece of text, using a LoRA adapter on Qwen3.5-9B. For developers who need a clas…

NorthCUA-Nano

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…

Signal 3.8 27B

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…

Qwen3.8-27B-CodeForge-3xMerge

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…

Mica-v0.5-4B

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…

Assistant_Pepe_32B

SicariusSicariiStuff · Kit

A 32.8B-parameter English model built on Qwen3-32B and released in 8B, 32B and 70B versions. The card text shows only page styling, so its exact purpose is not…

Jasper-K-35B-MoE

ragentile · Kit

Writes GPU kernels and improves their speed through repeated tries against a test environment. A mixture-of-experts model trained from Qwen3.6-35B-A3B with rei…

Qwen3.5-4B-Base

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…

Qwen3-4B-GGUF

Qwen · Kit

A 4B chat model in GGUF format that runs locally in llama.cpp or ollama, with a thinking mode for reasoning and a plain mode for quick replies. Suits developer…

Qwen3-14B

Qwen · Kit

Reasons through hard problems in a thinking mode and answers everyday chat in a faster non-thinking mode, as a 14.8B-parameter open model. Suits developers who…

Qwen2.5-Coder-32B-Instruct

Qwen · Kit

Writes, explains and fixes code as the largest instruction-tuned model in the Qwen2.5-Coder family, at 32B parameters. For developers who run a strong open cod…

Qwen2.5-Coder-14B-Instruct-GGUF

Qwen · Kit

Gives you the Qwen2.5-Coder 14B instruct model as GGUF files in eight quantization sizes, for coding help with llama.cpp. For developers who want a stronger lo…

Qwen2.5-Coder-1.5B-Instruct-GGUF

Qwen · Kit

Gives you the small Qwen2.5-Coder 1.5B instruct model as GGUF files in eight quantization sizes, for coding help with llama.cpp on a laptop. For developers who…

Qwen-Image

Qwen · Kit

Turns written prompts into images and renders readable text inside them, in English and Chinese. Suits designers, artists and developers who work with the diff…

Qwen3.5-4B-GLB-3D-Coder-GGUF

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…

Qwen3.8-27B-Splash

incoai · Kit

Serves Qwen3.8-27B on Apple silicon Macs through Inco AI's Splash engine, with a 4-bit model, a DFlash 2 draft and a vision encoder in one package. Works only…

Qwen3.8-27B-Randean-MXFP4

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…

Qwen3.8-27B-Ridge-GGUF

empero-ai · Kit

Runs Qwen3.8-27B as a compact 3.7 bits-per-weight GGUF file that suits a 16 GB GPU, with optional image input. For people running models locally with llama.cpp…