Mindket

AI projects from Hugging Face

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Runs DeepSeek V4.1 Flash at its full 1M-token context on eight Tesla V100 32 GB cards, using an EXL3 expert pack and an SM70 vLLM build. For owners of such ser…

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Holds the measurements and recipes for building an optimized EXL3 quant of Gemma 4 31B-it at any bitrate. For people who quantize models with exllamav3 and wan…

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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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Runs a compressed DeepSeek-V4.1-Flash-1017 in ExLlamaV3 at 1.68, 2.25 or 2.68 bits per weight. For people who run large models on their own hardware and want l…

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Qwen3.8-27B-exl3

turboderp · Kit

EXL3 quantized copies of Qwen3.8-27B in many bits-per-weight sizes, from 1.40 to 6.00. For people running the 27B model locally with ExLlamaV3 on limited GPU m…

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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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Serves a 3-bit compressed copy of DeepSeek-V4.1-Flash-1017 on two 96 GB RTX PRO 6000 Blackwell cards with vLLM, for developers who host a large coding and agen…

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