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Mixtral 8x7B Instruct V0.1 AWQ by TheBloke

By TheBloke · 1045 downloads

Mixtral 8x7B Instruct 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, Instruction-Based, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:mistralai/mixtral-8... Base model:quantized:mistralai...   Conversational   De   Deploy:azure   En   Es   Fr   Instruct   It   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mixtral 8x7B Instruct V0.1 AWQ Parameters and Internals

Model Type 
Sparse Mixture of Experts, Generative Model
Use Cases 
Areas:
Research, Commercial Applications
Limitations:
The model does not have any moderation mechanisms.
Additional Notes 
Model cannot (yet) be instantiated with Hugging Face's ecosystem.
Supported Languages 
fr (high), it (high), de (high), es (high), en (high)
Training Details 
Data Sources:
VMware Open Instruct
Methodology:
Fine-tuning techniques used
Model Architecture:
Sparse Mixture of Experts
Input Output 
Input Format:
[INST] {prompt} [/INST]
Accepted Modalities:
text
Output Format:
text
LLM NameMixtral 8x7B Instruct V0.1 AWQ
Repository πŸ€—https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-AWQ 
Model NameMixtral 8X7B Instruct v0.1
Model CreatorMistral AI_
Base Model(s)  mistralai/Mixtral-8x7B-Instruct-v0.1   mistralai/Mixtral-8x7B-Instruct-v0.1
Model Size46.7b
Required VRAM24.7 GB
Updated2026-08-05
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
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 Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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