Aira 2 355M 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   Gpt2   Instruct   Pytorch   Region:us   Safetensors

Aira 2 355M Benchmarks

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Aira 2 355M Parameters and Internals

Model Type 
text generation, instruction tuned, conversation, assistant
Use Cases 
Areas:
research, commercial applications
Applications:
instruction following, text generation, virtual assistance
Primary Use Cases:
interactive dialogues, instruction response
Limitations:
May produce hallucinations, biases, toxic content, Repetition and verbosity issues
Supported Languages 
English (Primary)
Training Details 
Data Sources:
Instruct-Aira Dataset
Methodology:
fine-tuning
Hardware Used:
1 NVIDIA A100-SXM4-40GB
Input Output 
Input Format:
Use special tokens <|startofinstruction|>, <|endofinstruction|>
Accepted Modalities:
text
Output Format:
Generated text response
Performance Tips:
Avoid repetition penalty set to a low value to prevent loops
LLM NameAira 2 355M
Repository ๐Ÿค—https://huggingface.co/nicholasKluge/Aira-2-355M 
Model Size355m
Required VRAM0 GB
Updated2025-06-09
MaintainernicholasKluge
Model Typegpt2
Instruction-BasedYes
Model Files  1.4 GB   1.0 GB   1.4 GB   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.33.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|startofinstruction|>
End of Sentence Token<|endofcompletion|>
Unk Token<|endoftext|>
Vocabulary Size50261
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace
Aira 2 355M (nicholasKluge/Aira-2-355M)

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Rank the Aira 2 355M 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 v20241124