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DBME
DBMe
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I do optimized EXL2 quants for 48GB VRAM setups.
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DBMe/Evathene-v1.0-4.86bpw-h6-exl2
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DBMe/Monstral-123B-2.85bpw-h6-exl2
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DBMe/Mistral-Large-Instruct-2411-2.86bpw-h6-exl2
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DBMe/Evathene-v1.0-4.86bpw-h6-exl2
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updated
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DBMe/Monstral-123B-2.85bpw-h6-exl2
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updated
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5 days ago
DBMe/Mistral-Large-Instruct-2411-2.86bpw-h6-exl2
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a model
6 days ago
DBMe/EVA-Qwen2.5-72B-v0.1-4.86bpw-h6-exl2
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DBMe/EVA-Qwen2.5-72B-v0.0-4.48bpw-h6-exl2
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DBMe/EVA-Qwen2.5-72B-v0.0-4.86bpw-h6-exl2
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DBMe/Behemoth-123B-v1.1-2.85bpw-h6-exl2
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DBMe/Midnight-Miqu-103B-v1.0-3.53bpw-h6-exl2
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DBMe/Midnight-Miqu-103B-v1.0-3.35bpw-h6-exl2
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Oct 26
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DBMe/magnum-v4-72b-4.47bpw-h6-exl2
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DBMe/Mistral-Large-Instruct-2407-2.85bpw-h6-exl2
about 1 month ago
Set PYTORCH_CUDA_ALLOC_CONF=backend:cudaMallocAsync
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#1 opened about 1 month ago by
John198
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DBMe/magnum-v4-72b-4.85bpw-h6-exl2
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DBMe/magnum-v4-123b-2.85bpw-h6-exl2
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DBMe/Llama-3.1-Nemotron-70B-Instruct-HF-4.6bpw-h6-exl2
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DBMe/WizardLM-2-8x22B-2.6bpw-h6-exl2
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Oct 21
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DBMe/TheDrummer_Behemoth-123B-v1-2.85bpw-h6-exl2
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DBMe/magnum-v2-123b-2.85bpw-h6-exl2
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DBMe/Mistral-Large-Instruct-2407-2.85bpw-h6-exl2
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DBMe/command-r-plus-3.2bpw-h6-exl2
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Oct 21
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DBMe/c4ai-command-r-plus-08-2024-3.2bpw-h6-exl2
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Oct 21
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