Opt 350M Multiprompt by pszemraj

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Dataset:pszemraj/text2image-mu...   Endpoints compatible   Generated from trainer   Midjourney   Opt   Prompt augment   Pytorch   Region:us   Safetensors   Stable diffusion   Text to image   Text2image

Opt 350M Multiprompt Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 350M Multiprompt (pszemraj/opt-350m-multiprompt)
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Opt 350M Multiprompt Parameters and Internals

Model Type 
text generation, stable diffusion, midjourney, text2image, text to image, prompt augment, prompt engineering
Use Cases 
Limitations:
The model will generate augmentations that are biased towards the training data.
Additional Notes 
The model works well with any text to image tool like DALL-E 2.
Training Details 
Data Sources:
pszemraj/text2image-multi-prompt, pszemraj/text2image-prompts-multi
LLM NameOpt 350M Multiprompt
Repository ๐Ÿค—https://huggingface.co/pszemraj/opt-350m-multiprompt 
Model Size350m
Required VRAM0.7 GB
Updated2026-03-05
Maintainerpszemraj
Model Typeopt
Model Files  0.7 GB   0.7 GB   0.0 GB
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.25.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50272
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than pszemraj/opt-350m-multiprompt.

Rank the Opt 350M Multiprompt 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