SeaPhi3 Medium by SeacomSrl

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  4-bit   Autotrain compatible   Bitsandbytes   Conversational   Dataset:seacomsrl/rag-data   Endpoints compatible   Instruct   It   Mistral   Region:us   Safetensors   Sharded   Tensorflow

SeaPhi3 Medium Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SeaPhi3 Medium (SeacomSrl/SeaPhi3-medium)

SeaPhi3 Medium Parameters and Internals

LLM NameSeaPhi3 Medium
Repository ๐Ÿค—https://huggingface.co/SeacomSrl/SeaPhi3-medium 
Model Size7.4b
Required VRAM8.4 GB
Updated2025-01-20
MaintainerSeacomSrl
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.4 GB: 2-of-2
Supported Languagesit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SeacomSrl/SeaPhi3-medium.

Rank the SeaPhi3 Medium 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