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Mixtral Fusion 4x7B Instruct V0.1 AWQ by TheBloke

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Mixtral Fusion 4x7B Instruct V0.1 AWQ is an open-source language model by TheBloke. Features: 24.2b LLM, VRAM: 13GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:mmnga/mixtral-fusio... Base model:quantized:mmnga/mix...   Conversational   De   En   Es   Fr   Instruct   It   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-AWQ 

Mixtral Fusion 4x7B Instruct V0.1 AWQ Benchmarks

LLME Score: 0.10714
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral Fusion 4x7B Instruct V0.1 AWQ (TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-AWQ)
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Mixtral Fusion 4x7B Instruct V0.1 AWQ Parameters and Internals

Model Type 
mixtral
Additional Notes 
This model utilizes the AWQ quantization method which offers efficient, accurate and fast low-bit weight quantization.
Supported Languages 
fr (unknown), it (unknown), de (unknown), es (unknown), en (unknown)
Input Output 
Input Format:
[INST] {prompt} [/INST]
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Utilize AutoAWQ for efficient inference.
LLM NameMixtral Fusion 4x7B Instruct V0.1 AWQ
Repository 🤗https://huggingface.co/TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-AWQ 
Model NameMixtral Fusion 4X7B Instruct v0.1
Model Creatormomonga
Base Model(s)  mmnga/Mixtral-Fusion-4x7B-Instruct-v0.1   mmnga/Mixtral-Fusion-4x7B-Instruct-v0.1
Model Size24.2b
Required VRAM13 GB
Updated2026-05-26
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.0 GB: 2-of-2
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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...tral Fusion 4x7B Instruct V0.132K / 48.5 GB1518
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-AWQ.

Rank the Mixtral Fusion 4x7B Instruct V0.1 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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