Mixtral 8x7B Instruct V0.1 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:mistralai/mixtral-8... Base model:quantized:mistralai...   Conversational   De   En   Es   Fr   Gptq   Instruct   It   Mixtral   Moe   Quantized   Region:us   Safetensors

Mixtral 8x7B Instruct V0.1 GPTQ Benchmarks

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 GPTQ (TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ)

Mixtral 8x7B Instruct V0.1 GPTQ Parameters and Internals

Model Type 
mixtral
Additional Notes 
The model outperforms Llama 2 70B on most benchmarks tested by Mistral AI.
Supported Languages 
fr (>basic), it (>basic), de (>basic), es (>basic), en (advanced)
Input Output 
Input Format:
[INST] {prompt} [/INST]
Output Format:
text
LLM NameMixtral 8x7B Instruct V0.1 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ 
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 Size6.1b
Required VRAM23.8 GB
Updated2025-02-05
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  23.8 GB
Supported Languagesfr it de es en
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Mixtral 8x7B Instruct V0.1 GPTQ 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227