Mindket

AI skills and agents for developers

Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.

Categories and filters
Filters
Clear filters

Listings

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.…

New

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…

New

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…

New

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…

New

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…

New

A GGUF draft model that speeds up Qwen3.8-27B in llama.cpp through speculative decoding, reaching about 125 tokens per second on code and math on one RTX 3090.…

New

Qwen3.8-27B-GSQ-RCO-GGUF

ISTA-DASLab · Kit

ISTA-DASLab's GGUF versions of Qwen3.8-27B in four sizes, each tensor quantized at its own precision, with a vision projector for images. Suits people who run…

New

A five-layer draft model that guesses 16 tokens in parallel for Qwen3.8-27B, so the large model can check them together. Made for teams that serve that model.

New

Qwen3.8-27B

Qwen · Kit

Reads text, images and video and replies in text, with a 27B open model tuned for coding, research and multi-step agent work. Suits developers who run models t…

New