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Mixtral 8x7b V0.1 AWQ by TheBloke

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Mixtral 8x7b V0.1 AWQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.13.

  4-bit   Awq Base model:mistralai/mixtral-8... Base model:quantized:mistralai...   De   En   Es   Fr   It   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/mixtral-8x7b-v0.1-AWQ 

Mixtral 8x7b V0.1 AWQ Benchmarks

LLME Score: 0.12814
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x7b V0.1 AWQ (TheBloke/mixtral-8x7b-v0.1-AWQ)
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Mixtral 8x7b V0.1 AWQ Parameters and Internals

Model Type 
mixtral
Additional Notes 
Mixtral-8x7B is a pretrained generative Sparse Mixture of Experts model, noted to outperform Llama 2 70B on many benchmarks.
Supported Languages 
fr (unknown), it (unknown), de (unknown), es (unknown), en (unknown)
LLM NameMixtral 8x7b V0.1 AWQ
Repository 🤗https://huggingface.co/TheBloke/mixtral-8x7b-v0.1-AWQ 
Model NameMixtral 8X7B v0.1
Model CreatorMistral AI_
Base Model(s)  mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-v0.1
Model Size46.7b
Required VRAM24.7 GB
Updated2026-03-07
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesfr it de es en
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/mixtral-8x7b-v0.1-AWQ.

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