AI skills and agents for developers

Qwen3.8-Flash-Next-DFlash2

incoai · Kit

Speeds up Qwen3.8-Flash-Next by drafting several tokens at once for the main model to check, for engineers who serve that model with SGLang and want faster out…

Qwen3.8-27B-GGUF by ggml-org

ggml-org · Kit

Runs Qwen3.8-27B, a 26.9B model that takes images and text and replies in text, as a GGUF file for local use through the llama tools. Made for people who want…

Qwen3.8-4B-Distill-GGUF

empero-ai · Kit

Runs a 4B reasoning model on a laptop or a mid-range graphics card, as GGUF files in five quant levels. A distillation of a large Qwen3.8 model, packaged by Em…

Qwen3.8-35B-A3B-Distill

empero-ai · Kit

Reasons step by step before it answers, using a 35B mixture-of-experts model that activates about 3B parameters per token. Distilled from Qwen3.8 teacher trace…

Qwen3.8-27B-NVFP4

unsloth · Kit

A 4-bit NVFP4 copy of the Qwen3.8 27B vision-language model made by Unsloth, for serving with vLLM. For developers who want a dense model that reads images and…

Sabi-Noema

sabicap · Kit

A 27B agentic text model built on Qwen3.8-27B with open-source RL environments, reporting higher terminal and coding-agent scores, for developers building codi…

halogen-qwen3.8-flash-next

peonist-ai · Kit

Holds the model weights for halogen-flash-server, an engine that runs Qwen3.8-Flash-Next on AMD Strix Halo machines, for owners of that hardware who want the m…

Qwen3.8-9B-Distill-GGUF

empero-ai · Kit

GGUF quantizations of Empero's Qwen3.8-9B, a reasoning model distilled from a larger Qwen3.8 into the Qwen3.5-9B design, for llama.cpp, Ollama, LM Studio and s…

Qwen3.8-27B NVFP4

nvidia · Kit

NVIDIA's 4-bit NVFP4 build of Alibaba's Qwen3.8-27B, made with Model Optimizer for Blackwell GPUs, taking text, image and video in and giving text back.

Qwen3.8-35B-A3B-Distill-GGUF

empero-ai · Kit

Runs a 35B Mixture-of-Experts model with about 3B active parameters per token from GGUF files in ten sizes, plus a vision projector. For llama.cpp, Ollama, LM…

Qwen3.8 13.5B

kusuriya-labs · Kit

An experiment that prunes Qwen3.8-27B to half its layers and retrains it, giving a 14.7B model for Japanese and English that the author says is not practical y…

Qwopus3.8-27B-Coder-Flash-GGUF

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…

Qwen3.8-27B-QSA-GGUF

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…

Arete-27B-GGUF

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…

Terminal-RSI-27B

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.…

Qwen3.8-27B-FP8

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…

Qwen3.8-27B Turbo Brilliance NEO MAX MTP GGUF

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…

Qwen3.8-27B GGUF (ShapeLearn Quantized)

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…

Thinklite-27B

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…

Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF

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…