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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Runs Swift 1.5 Ornith 9B, a reasoning model tuned to think with fewer tokens, as GGUF quantizations for llama.cpp. For people who run a 9B reasoning model on t…

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Nanbeige4.3-33B-INT4

Nanbeige · Kit

INT4 quantized version of Nanbeige4.3-33B, a 33B model for coding and professional agent tasks, made with quantization-aware training. For developers who want…

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4-bit EXL3 quantization of GLM-5.3-Flash prepared for TensorFold, with lower KL divergence than a popular TR3-4bpw quant at the same size. For people serving l…

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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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granite-4.2-8b GGUF

ibm-granite · Kit

Holds GGUF copies of IBM's Granite 4.2 8B model in several quantization levels, ready for llama.cpp. For people who want to run the model locally and read its…

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Qwen3.5-4B GGUF

bartowski · Kit

Imatrix GGUF quantizations of Qwen3.5-4B, a 4.3B image-text model with MTP layers, with the 4-bit file near 3 GB. For people who run a small model locally.

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GGUF quantizations of Llama-3.2-1B-Instruct, a 1.2B text model in eight languages, with the 4-bit file near 0.8 GB. For people who run a tiny local model.

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Cloudflare clef GGUF

bartowski · Kit

Static GGUF quantizations of Cloudflare's clef decision model, which scores every answer option to typed questions about a state in one pass instead of writing…

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Runs GLM-5.3-Flash locally on two RTX 3090 cards with 128 GB of RAM and a 262,144-token context, using a verified 3.05 bpw EXL3 quantization. For people hostin…

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Qwen3.8-27B-SLQ-GGUF

kaitchup · Kit

Compresses Qwen3.8-27B into three GGUF files with different size and fidelity levels, using a custom statistically lossless quantization. For people who run th…

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Qwen3.8-27B-AWQ-INT4

cyankiwi · Kit

A 4-bit AWQ quantization of Qwen3.8-27B by cyankiwi, a 27B vision-language model with thinking control. Weights are 21.02 GB and load in Transformers, vLLM or…

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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…

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GGUF quantizations of Meta's Llama-3.2-3B-Instruct, made by bartowski with an importance matrix, from about 1.8 GB to 6.4 GB. For running a small chat model lo…

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KAT-Coder-V2.5-Dev GGUF

bartowski · Kit

Imatrix GGUF quantizations of Kwaipilot's KAT-Coder-V2.5-Dev, a 34.7B text model, with 4-bit files of about 19 GB or more. For people who run a large coder-nam…

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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…

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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…

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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…

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Gives you the small Qwen2.5 1.5B chat model as GGUF files in eight quantization sizes, for running with llama.cpp on a laptop or modest GPU. For people who wan…

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Runs a 748B DeepSeek mixture-of-experts model on a home PC through two GGUF quantizations made for Project Maya. For people with a big-RAM machine and a fast S…

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AREX-2-i1-GGUF

mradermacher · Kit

Weighted GGUF quantizations of BAAI/AREX-2, a 26.9B vision model, in about two dozen sizes from 7.2 GB to 22.2 GB, plus an imatrix file for making your own qua…

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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…

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GGUF quantizations of Jackrong's Qwopus3.8-27B-Coder-Flash, made by bartowski with an importance matrix, in sizes from 17 GB to 55 GB. For running a 27B model…

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A 2.9 bits-per-weight EXL3 quantization of DeepSeek-V4.1-Flash-1017 that reads text and images. It cuts the model to about 210 GB for exllamav3 runtimes, and t…

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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.

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Runs Google's Gemma 4 12B instruction-tuned model in a 4-bit GGUF file made with quantization-aware training. Reads text and images, and suits laptops and cons…

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GGUF quantizations of Nanbeige4.3-33B, made by bartowski with an importance matrix, from about 21 GB to 66 GB. For running a 33B English and Chinese text model…

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Gemma 4 12B in GGUF form, trained with quantization-aware training so a 4-bit copy keeps near-bfloat16 quality. For people running Gemma locally with llama.cpp…

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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…

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Runs a 7B instruction-tuned coding model from Qwen on your own machine, packed as GGUF files in eight quantization levels. Made for developers who want code he…

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Unsloth's GGUF quantizations of DeepSeek-V4.1-Flash-1017, a huge image-and-text model, for running locally on a machine with 128 GB or more of RAM. For people…

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LLM VRAM Calculator

donaldJJ · Kit

Estimates how much GPU memory a Hugging Face model needs at any quantization and context length, split into weights, KV cache and overhead, and shows which GPU…

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MLX Model Explorer

mlx-community · Kit

Helps Mac users find an MLX model and a quantization that suit their machine, in a static page that opens in any browser with nothing to install.

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