Snowflake Arctic Instruct by Snowflake

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  Arctic   Autotrain compatible   Conversational   Custom code   Instruct   Moe   Region:us   Safetensors   Sharded   Snowflake   Tensorflow

Snowflake Arctic Instruct Benchmarks

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

Snowflake Arctic Instruct Parameters and Internals

Model Type 
dense-MoE Hybrid transformer
Use Cases 
Areas:
research, prototypes, products
Applications:
enterprise AI
Additional Notes 
Models leverage features from DeepSpeed for performance enhancement.
Supported Languages 
english (high proficiency)
Training Details 
Model Architecture:
Arctic combines a 10B dense transformer model with a residual 128x3.66B MoE MLP resulting in 480B total and 17B active parameters chosen using a top-2 gating.
Input Output 
Input Format:
text only
Accepted Modalities:
text
Output Format:
text and code only
Performance Tips:
Use FP8 quantization for inference.
Release Notes 
Date:
April, 24th 2024
Notes:
Initial release of Arctic model.
LLM NameSnowflake Arctic Instruct
Repository ๐Ÿค—https://huggingface.co/Snowflake/snowflake-arctic-instruct 
Model Size478.6b
Required VRAM224.2 GB
Updated2025-02-22
MaintainerSnowflake
Model Typearctic
Instruction-BasedYes
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Model ArchitectureArcticForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.0.dev0
Vocabulary Size32000
Torch Data Typebfloat16

Rank the Snowflake Arctic Instruct 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 v20241227