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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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QuantBench

prajwalpujari16 · Kit

A browser studio for exploring LLM quantization below one byte per weight, with a Pareto frontier explorer, BitNet 1.58b bit-packing registers and a layer sens…

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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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