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Mixtral Fusion 4x7B Instruct V0.1 GGUF by TheBloke

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Mixtral Fusion 4x7B Instruct V0.1 GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 8.1GB, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

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

Mixtral Fusion 4x7B Instruct V0.1 GGUF Benchmarks

LLME Score: 0.10843
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 GGUF (TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-GGUF)
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Mixtral Fusion 4x7B Instruct V0.1 GGUF Parameters and Internals

Model Type 
Mixtral
Additional Notes 
Model supports GGUF format from December 13th, 2023; various quantization levels provided for balance of size and performance.
Supported Languages 
languages_supported (/fr, it, de, es, en/), language_proficiency (/unknown/)
Training Details 
Methodology:
Expert weight merging by taking averages
Input Output 
Input Format:
[INST] {prompt} [/INST]
Accepted Modalities:
text
Output Format:
Generated text in response to prompts
Performance Tips:
Optimal quantization (Q5_K_M) recommended for balanced quality
LLM NameMixtral Fusion 4x7B Instruct V0.1 GGUF
Repository 🤗https://huggingface.co/TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-GGUF 
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
Required VRAM8.1 GB
Updated2026-05-25
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  8.1 GB   10.5 GB   13.6 GB   13.6 GB   16.6 GB   16.6 GB   19.8 GB   25.7 GB
Supported Languagesfr it de es en
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Phi 3 Mini 4K Instruct GGUF0K / 1.4 GB155417
Spydaz Web AI 0K / 4.4 GB1543
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Phi 3 Mini 4K Instruct0K / 2.3 GB400
...3 Mini 4k OLScience 4bitQ Gguf0K / 2.3 GB180
Dre Phi Gguf0K / 2.3 GB90
...i 3 Mini 4K Instruct V0.3 GGUF0K / 1.4 GB2275
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-GGUF.

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

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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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