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Mixtral 8x22B Instruct V0.1 8.0bpw H8 EXL2 by FuturisticVibes

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Mixtral 8x22B Instruct V0.1 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.22719
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mixtral 8x22B Instruct V0.1 8.0bpw H8 EXL2 Parameters and Internals

LLM NameMixtral 8x22B Instruct V0.1 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/FuturisticVibes/Mixtral-8x22B-Instruct-v0.1-8.0bpw-h8-exl2 
Required VRAM120.2 GB
Updated2024-09-07
MaintainerFuturisticVibes
Model Typemixtral
Instruction-BasedYes
Model Files  8.6 GB: 1-of-15   8.5 GB: 2-of-15   8.6 GB: 3-of-15   8.5 GB: 4-of-15   8.6 GB: 5-of-15   8.6 GB: 6-of-15   8.6 GB: 7-of-15   8.5 GB: 8-of-15   8.5 GB: 9-of-15   8.6 GB: 10-of-15   8.6 GB: 11-of-15   8.6 GB: 12-of-15   8.5 GB: 13-of-15   8.6 GB: 14-of-15   0.3 GB: 15-of-15
Supported Languagesen es it de fr
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.38.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16
Mixtral 8x22B Instruct V0.1 8.0bpw H8 EXL2 (FuturisticVibes/Mixtral-8x22B-Instruct-v0.1-8.0bpw-h8-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than FuturisticVibes/Mixtral-8x22B-Instruct-v0.1-8.0bpw-h8-exl2.

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Release v2024072803
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