AI skills and agents for developers

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…

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…

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…

ttf-Qwen3.8-Flash-Next-GGUF

oguzeldereli · Kit

Runs Qwen3.8-Flash-Next, a 180B mixture-of-experts model squeezed to ternary weights, from one 40.4 GB GGUF file that is 4.6 times smaller than the FP8 release…

ttf-Qwen3.8-27B-GGUF

oguzeldereli · Kit

Runs Qwen3.8-27B squeezed to ternary weights as GGUF files that fit on a 12 GB GPU, in an 8.2 GB and a 6.74 GB variant. For people who want a large local model…

LFM2.5-2.6B-Qwen3.8-Turbo-Brilliance-Power-X12-NEO-MAX-GGUF

DavidAU · Kit

GGUF build of LiquidAI's LFM2.5-2.6B with DavidAU's Turbo Brilliance system, adding 12 reasoning and 12 instruct modes you switch in the prompt. A 2.7B beta fo…

Qwen3.8-27B-GGUF by bartowski

bartowski · Kit

A set of GGUF quantizations of Qwen3.8-27B by bartowski, from Q8_0 down to 3-bit, made with an importance matrix. For people running a 27B vision-language mode…

Qwen3.8-27B-exl3

turboderp · Kit

EXL3 quantized copies of Qwen3.8-27B in many bits-per-weight sizes, from 1.40 to 6.00. For people running the 27B model locally with ExLlamaV3 on limited GPU m…

Qwen3.8-27B-1C

sweetand · Kit

Helps developers on the 1C:Enterprise platform by reading and fixing BSL code and finding objects in XML exports. A Russian-first fine-tune of Qwen3.8-27B, off…

Qwen3.8-27B IQR-V4

StillDeadcode · Kit

Qwen3.8-27B compressed to fifteen sizes from about 2.5 to 8 bits per weight, for the radiance engine on AMD RDNA4 GPUs, with image reading and a speed-up draft…

Qwen3.8-27B-4bit (MLX)

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…

Qwen3.8-27B-GGUF by lmstudio-community

lmstudio-community · Kit

A GGUF quantization of Qwen's Qwen3.8-27B made by the LM Studio team with llama.cpp, for people who run a 27B model on their own computer.

Qwen3.8-27B QSA BF16

higa2515 · Kit

BF16 source weights of Qwen3.8-27B with learned sparse attention indexers added, plus a reference Transformers loader, for people studying or deploying Qwen Sp…

Qwen3.8-2B-Distill-GGUF

empero-ai · Kit

Runs a small 2B reasoning model on phones, laptops and single-board computers, as GGUF files in five quant levels. A distillation of a large Qwen3.8 model, pac…

Qwen3.8-27B-pi

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…

Qwen3.8-27B-DFlash2

z-lab · Kit

A draft model that speeds up Qwen3.8-27B by proposing a block of tokens for the main model to check. Not standalone. For people serving Qwen3.8-27B with SGLang…

JDI-Decision-V1

JoyIndustrial · Kit

Answers structured questions about text and images with choices and probabilities, as a decision system from JD Industrials built on Qwen3.8-27B with built-in…