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Mixtral 8x7B Instruct V0.1 GGUF by TheBloke

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Base model:mistralai/mixtral-8... Base model:quantized:mistralai...   Conversational   De   En   Es   Fr   Gguf   Instruct   It   Mixtral   Moe   Quantized   Region:us

Mixtral 8x7B Instruct V0.1 GGUF Benchmarks

LLME Score: 0.28214
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mixtral 8x7B Instruct V0.1 GGUF Parameters and Internals

Model Type 
mixtral
Additional Notes 
The Mixtral 8X7B Instruct model is specially formatted and requires specific instruction cues ([INST] and [/INST]) for optimal performance. It is distributed in multiple quantized forms, supporting both CPU and GPU inference.
Supported Languages 
fr (unknown), it (unknown), de (unknown), es (unknown), en (unknown)
Input Output 
Input Format:
[INST] {prompt} [/INST]
Release Notes 
Version:
v0.1
Notes:
This version supports languages such as French (fr), Italian (it), German (de), Spanish (es), and English (en). The model includes prompts in the format '[INST] {prompt} [/INST]' and is capable of producing outputs using pirate speak, as seen in the widget example.
LLM NameMixtral 8x7B Instruct V0.1 GGUF
Repository 🤗https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF 
Model NameMixtral 8X7B Instruct v0.1
Model CreatorMistral AI_
Base Model(s)  mistralai/Mixtral-8x7B-Instruct-v0.1   mistralai/Mixtral-8x7B-Instruct-v0.1
Required VRAM15.6 GB
Updated2024-11-21
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  15.6 GB   20.4 GB   26.4 GB   26.4 GB   32.2 GB   32.2 GB   38.4 GB   49.6 GB
Supported Languagesfr it de es en
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Mixtral 8x7B Instruct V0.1 GGUF (TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF)

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Spydaz Web AI 0K / 4.4 GB1373
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Phi 3 Mini 4K Instruct0K / 2.3 GB250
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Dre Phi Gguf0K / 2.3 GB150
...i 3 Mini 4K Instruct V0.2 GGUF0K / 1.4 GB1462

Rank the Mixtral 8x7B 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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Release v20241110
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