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Dart V1 Base by p1atdev

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  Autotrain compatible Dataset:isek-ai/danbooru-tags-...   Onnx   Opt   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/p1atdev/dart-v1-base 

Dart V1 Base Benchmarks

LLME Score: 0.1401
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dart V1 Base (p1atdev/dart-v1-base)
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Dart V1 Base Parameters and Internals

Model Type 
Causal language model
Additional Notes 
Since this model is a pre-trained model, it cannot accommodate flexible specifications.
Supported Languages 
Danbooru tags (Not Specified)
Training Details 
Data Sources:
isek-ai/danbooru-tags-2023
Data Volume:
6M size of danbooru tags dataset
Methodology:
Standard training with transformers' trainer, special processing for tag filtering and categorization.
Hardware Used:
1x RTX 3070 Ti
Model Architecture:
OPT (Open Pretrained Transformer) but the position embeddings was not trained
Input Output 
Input Format:
<|bos|>rating:sfw, rating:general1girl
Accepted Modalities:
text
Output Format:
Tag list in alphabetical order
Performance Tips:
Using flash attention can optimize computations, but it is currently only compatible with Linux.
LLM NameDart V1 Base
Repository 🤗https://huggingface.co/p1atdev/dart-v1-base 
Model Size138.9m
Required VRAM0.3 GB
Updated2025-09-15
Maintainerp1atdev
Model Typeopt
Model Files  0.3 GB
Model ArchitectureOPTForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.38.0
Tokenizer ClassDartTokenizer
Padding Token<|pad|>
Vocabulary Size67996
Torch Data Typebfloat16
Activation Functionrelu

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Note: green Score (e.g. "73.2") means that the model is better than p1atdev/dart-v1-base.

Rank the Dart V1 Base 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 v20241124
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