Mistralai Mixtral 8x7B Instruct V0.1 4bits by RichardErkhov

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  4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Mistralai Mixtral 8x7B Instruct V0.1 4bits Benchmarks

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

Mistralai Mixtral 8x7B Instruct V0.1 4bits Parameters and Internals

LLM NameMistralai Mixtral 8x7B Instruct V0.1 4bits
Repository ๐Ÿค—https://huggingface.co/RichardErkhov/mistralai_-_Mixtral-8x7B-Instruct-v0.1-4bits 
Model Size24.2b
Required VRAM26.7 GB
Updated2024-09-18
MaintainerRichardErkhov
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   1.7 GB: 6-of-6
Supported Languagesfr it de es en
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Mistralai Mixtral 8x7B Instruct V0.1 4bits (RichardErkhov/mistralai_-_Mixtral-8x7B-Instruct-v0.1-4bits)

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Note: green Score (e.g. "73.2") means that the model is better than RichardErkhov/mistralai_-_Mixtral-8x7B-Instruct-v0.1-4bits.

Rank the Mistralai Mixtral 8x7B Instruct V0.1 4bits 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803