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

By FuturisticVibes · 6 downloads
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Mixtral 8x22B Instruct V0.1 8.0bpw H8 EXL2 is an open-source language model by FuturisticVibes. Features: LLM, VRAM: 120.2GB, Context: 64K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  8-bit   Conversational   De   En   Endpoints compatible   Es   Exl2   Fr   Instruct   It   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FuturisticVibes/Mixtral-8x22B-Instruct-v0.1-8.0bpw-h8-exl2 

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

Model Type 
Large Language Model, Instruct fine-tuned
Additional Notes 
Includes a measurement.json file for further quantization. This release marks the last of the BIG Mixtrals.
Supported Languages 
en (high), es (high), it (high), de (high), fr (high)
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
Updated2026-06-29
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

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