MagicPrompt Tinystories 33M Epoch10 Merged by Technotech

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MagicPrompt Tinystories 33M Epoch10 Merged is an open-source language model by Technotech. Features: 33m LLM, VRAM: 0.3GB, Context: 2K, License: apache-2.0, Merged, LLM Explorer Score: 0.08.

  Merged Model   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 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 🤗https://huggingface.co/Technotech/MagicPrompt-tinystories-33M-epoch10-merged 
Merged ModelYes
Model Size33m
Required VRAM0.3 GB
Updated2026-05-23
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.

Rank the MagicPrompt Tinystories 33M Epoch10 Merged 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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Release v20260328a