Mindket

AI skills and agents for developers

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

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Qwen3.8-27B-MLX-8bit

lmstudio-community · Kit

Runs a 27B model that reads images and text in an 8-bit MLX build for Apple Silicon Macs. It suits people who want picture questions answered locally.

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Runs Qwen3.8-27B as an 8-bit mixed-precision MLX checkpoint with its vision encoder and MTP head, for image and text chat on Apple hardware. For people who wan…

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Runs the 27B Qwen3.8 vision-language model on MLX in about 17.5 GB, reading text, images and video with a 262,144-token context. A mixed-precision quantization…

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JDI-Decision-V0.9

JoyIndustrial · Kit

Answers multiple-choice style questions about images and text with option probabilities, using a Qwen3.8-27B decision system with built-in OCR. For developers…

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Cuts reasoning time and cost for long agent tasks, as a GGUF build of a Qwen3.8-27B fine-tune. Made for people who run agent loops on their own machine and wan…

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Serves Qwen3.8-27B in NVFP4 on one RTX 5090 with vLLM, with a checksum-verified download, FP8 KV cache, tool calls and reasoning support. For developers self-h…

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GGUF files of the 3.7B K2-Horizon text model in six precision levels, from BF16 to Q4_K_M, for running with llama.cpp. The model has a 512K-token context windo…

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Answers questions and follows instructions in Arabic and English. A 7B model trained from scratch by the National Center for Artificial Intelligence at SDAIA,…

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Darwin-27B-ZTC

FINAL-Bench · Kit

Reads a situation and a set of typed questions, then returns a probability for every option in one forward pass, with no text generated. For builders adding ca…

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Runs a 27B model that reads images and text, in FP8 for vLLM. It reasons with far fewer tokens than a Qwen model of the same size. Made for people who host the…

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Kvark-Sparkle-1.0-27B

Egzakta · Kit

Reasons over images and text with fewer thinking tokens than its base Qwen3.8-27B, so answers arrive in about half the time at similar accuracy, per its card.…

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Runs Qwen3.8-27B at 8-bit through the Splash runtime in LM Studio on Apple silicon. An unofficial package that keeps the model closer to the original than the…

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lift

datalab-to · Kit

Pulls structured data out of PDFs and images. You supply a JSON schema, and it returns an object that matches it. A 9.7B vision-language model from Datalab for…

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Turns speech, singing and songs into text, or into English, with quantized GGUF files of Qwen3-ASR-1.7B for CrispASR. For people who want local transcription a…

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Instinct

continuedev · Kit

Predicts the next edit you are likely to make in your code. A 7.6B model from Continue, fine-tuned from Qwen2.5-Coder-7B, for developers who want to run it on…

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UI-TARS-1.5-7B

ByteDance-Seed · Kit

An open multimodal agent model that reads screenshots and decides what to do in apps, browsers, phones and games. For developers building computer-use and GUI…

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A 7.8B translation model for 40 languages and 3 varieties, covering sentence, paragraph and document translation plus HTML or XML text. For developers and rese…

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A 4-bit MLX build for Apple Silicon of a mixture-of-experts model carved from the dense Qwen3.8-27B, with 17.8B active of 27B total parameters. For people who…

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Reads images and text and reasons about them, with about 3B of its 29.7B parameters active at a time. Covers chart reading, STEM problems from photos, visual g…

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Speeds up Qwen3.8-27B NVFP4 decoding about 3.9 times on a DGX Spark, using the same weights and a tuned speculative-decoding setup. For teams serving it with v…

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