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Mixtral 8x7B Instruct V0.1 FP8 by neuralmagic

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

Mixtral 8x7B Instruct V0.1 FP8 Benchmarks

LLME Score: 0.25053
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 FP8 Parameters and Internals

Model Type 
text generation, assistant-like chat
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat
Primary Use Cases:
assistant-like chat, text generation
Limitations:
Not for use in languages other than English, Not for illegal purposes
Additional Notes 
Quantization reduces GPU memory requirements by approximately 50%
Supported Languages 
English (primary)
Training Details 
Data Sources:
ultrachat
Methodology:
Quantization with AutoFP8
Context Length:
4096
Model Architecture:
Mixtral-8x7B-Instruct-v0.1
Input Output 
Input Format:
Text input expected in chat-like prompts
Accepted Modalities:
Text
Output Format:
Text
Performance Tips:
Use vLLM backend for efficient deployment
Release Notes 
Version:
1.0
Date:
6/8/2024
Notes:
Released with FP8 quantization for efficient inference and reduced resources.
LLM NameMixtral 8x7B Instruct V0.1 FP8
Repository 🤗https://huggingface.co/neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8 
Model Size46.7b
Required VRAM47.1 GB
Updated2024-11-22
Maintainerneuralmagic
Model Typemixtral
Instruction-BasedYes
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Mixtral 8x7B Instruct V0.1 FP8 (neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8)

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

Rank the Mixtral 8x7B Instruct V0.1 FP8 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 v20241110
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