Aira OPT 350M by nicholasKluge

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  Arxiv:1803.05457   Arxiv:2109.07958   Arxiv:2203.09509   Alignment   Assistant   Autotrain compatible   Co2 eq emissions   Conversation Dataset:nicholaskluge/instruct...   En   Endpoints compatible   Instruct   Opt   Pytorch   Region:us   Safetensors

Aira OPT 350M Benchmarks

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

Aira OPT 350M Parameters and Internals

LLM NameAira OPT 350M
Repository ๐Ÿค—https://huggingface.co/nicholasKluge/Aira-OPT-350M 
Model Size350m
Required VRAM0 GB
Updated2024-09-16
MaintainernicholasKluge
Model Typeopt
Instruction-BasedYes
Model Files  1.3 GB   2.6 GB   1.3 GB   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|pad|>
Vocabulary Size50270
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace
Aira OPT 350M (nicholasKluge/Aira-OPT-350M)

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Rank the Aira OPT 350M 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 v2024072803