Spacescience by calix1

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  Autotrain compatible   Endpoints compatible   Opt   Pytorch   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/calix1/spacescience 

Spacescience Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Spacescience (calix1/spacescience)

Spacescience Parameters and Internals

LLM NameSpacescience
Repository ๐Ÿค—https://huggingface.co/calix1/spacescience 
Required VRAM3.2 GB
Updated2025-02-01
Maintainercalix1
Model Typeopt
Model Files  3.2 GB
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu

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Note: green Score (e.g. "73.2") means that the model is better than calix1/spacescience.

Rank the Spacescience Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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