Mixtral 8x7B Instruct V0.1 FP8 V2 by comaniac

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  Autotrain compatible   Conversational   Endpoints compatible   Fp8   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Rank the Mixtral 8x7B Instruct V0.1 FP8 V2 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  
Mixtral 8x7B Instruct V0.1 FP8 V2 (comaniac/Mixtral-8x7B-Instruct-v0.1-FP8-v2)

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Note: green Score (e.g. "73.2") means that the model is better than comaniac/Mixtral-8x7B-Instruct-v0.1-FP8-v2.

Mixtral 8x7B Instruct V0.1 FP8 V2 Parameters and Internals

LLM NameMixtral 8x7B Instruct V0.1 FP8 V2
RepositoryOpen on ๐Ÿค— 
Model Size46.7b
Required VRAM47.1 GB
Model Typemixtral
Model Files  5.0 GB: 1-of-10   5.0 GB: 2-of-10   5.0 GB: 3-of-10   5.0 GB: 4-of-10   5.0 GB: 5-of-10   5.0 GB: 6-of-10   5.0 GB: 7-of-10   5.0 GB: 8-of-10   5.0 GB: 9-of-10   2.1 GB: 10-of-10
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801