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Permissive open license: commercial use, modification, and redistribution are permitted."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-maziyarpanahi-mistral-7b-knut-v0-3-mistral-7b-instruct-v0-2-slerp-gguf#faq-size","name":"How big is MaziyarPanahi/Mistral-7B-KNUT-v0.3-Mistral-7B-Instruct-v0.2-slerp-GGUF?","acceptedAnswer":{"@type":"Answer","text":"MaziyarPanahi/Mistral-7B-KNUT-v0.3-Mistral-7B-Instruct-v0.2-slerp-GGUF has 7B parameters. 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The original release is at https://huggingface.co/MaziyarPanahi/Mistral-7B-KNUT-v0.3-Mistral-7B-Instruct-v0.2-slerp-GGUF."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-maziyarpanahi-mistral-7b-knut-v0-3-mistral-7b-instruct-v0-2-slerp-gguf#faq-safety","name":"Has MaziyarPanahi/Mistral-7B-KNUT-v0.3-Mistral-7B-Instruct-v0.2-slerp-GGUF been scanned for unsafe files?","acceptedAnswer":{"@type":"Answer","text":"Source scan status: passed. 1 hosted file carries a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-maziyarpanahi-mistral-7b-knut-v0-3-mistral-7b-instruct-v0-2-slerp-gguf/safety on Hugging Bay."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-maziyarpanahi-mistral-7b-knut-v0-3-mistral-7b-instruct-v0-2-slerp-gguf#faq-fit-rtx4090-24","name":"Does MaziyarPanahi/Mistral-7B-KNUT-v0.3-Mistral-7B-Instruct-v0.2-slerp-GGUF run on an RTX 4090 (24GB)?","acceptedAnswer":{"@type":"Answer","text":"MaziyarPanahi/Mistral-7B-KNUT-v0.3-Mistral-7B-Instruct-v0.2-slerp-GGUF needs ~5.39 GB, which is within the 24 GB on an RTX 4090 (24GB) by memory capacity (~18.61 GB headroom). Computed from stated size and quant, not a runtime guarantee."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-maziyarpanahi-mistral-7b-knut-v0-3-mistral-7b-instruct-v0-2-slerp-gguf#faq-fit-rtx3090-24","name":"Does MaziyarPanahi/Mistral-7B-KNUT-v0.3-Mistral-7B-Instruct-v0.2-slerp-GGUF run on an RTX 3090 (24GB)?","acceptedAnswer":{"@type":"Answer","text":"MaziyarPanahi/Mistral-7B-KNUT-v0.3-Mistral-7B-Instruct-v0.2-slerp-GGUF needs ~5.39 GB, which is within the 24 GB on an RTX 3090 (24GB) by memory capacity (~18.61 GB headroom). 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