MagicPrompt Tinystories 33M Epoch10 Merged by Technotech

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  Merged Model   Autotrain compatible   Completion Dataset:gustavosta/stable-diff...   En   Endpoints compatible   Gpt neo   Pytorch   Region:us   Safetensors

MagicPrompt Tinystories 33M Epoch10 Merged Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MagicPrompt Tinystories 33M Epoch10 Merged (Technotech/MagicPrompt-tinystories-33M-epoch10-merged)

MagicPrompt Tinystories 33M Epoch10 Merged Parameters and Internals

Model Type 
completion
Additional Notes 
The model is inspired by MagicPrompt-Stable-Diffusion and is good considering its small size.
Supported Languages 
en (English)
Training Details 
Data Sources:
Gustavosta/Stable-Diffusion-Prompts
Data Volume:
80k Stable Diffusion prompts
Model Architecture:
Rank 16 LoRA
Input Output 
Performance Tips:
`no_repeat_ngram_size` is important for ensuring non-repetition.
LLM NameMagicPrompt Tinystories 33M Epoch10 Merged
Repository ๐Ÿค—https://huggingface.co/Technotech/MagicPrompt-tinystories-33M-epoch10-merged 
Merged ModelYes
Model Size33m
Required VRAM0.3 GB
Updated2025-02-05
MaintainerTechnotech
Model Typegpt_neo
Model Files  0.3 GB   0.3 GB
Supported Languagesen
Model ArchitectureGPTNeoForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Technotech/MagicPrompt-tinystories-33M-epoch10-merged.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227