TIPO 500M by KBlueLeaf

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TIPO 500M is an open-source language model by KBlueLeaf. Features: 500m LLM, VRAM: 1GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.19.

  Arxiv:2411.08127 Dataset:captionemporium/coyo-h... Dataset:graph-based-captions/g... Dataset:kblueleaf/danbooru2023... Dataset:laion/conceptual-capti...   Deploy:azure   En   Endpoints compatible   Gguf   Llama   Quantized   Region:us   Safetensors

TIPO 500M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

TIPO 500M Parameters and Internals

Model Type 
text-to-image
Supported Languages 
en (full)
Training Details 
Data Sources:
laion/conceptual-captions-12m-webdataset, CaptionEmporium/coyo-hd-11m-llavanext, KBlueLeaf/danbooru2023-metadata-database, graph-based-captions/GBC10M
Data Volume:
30B tokens
Context Length:
1024
Training Time:
100 hours
Hardware Used:
H100 x 8
Model Architecture:
LLaMA
Input Output 
Accepted Modalities:
text
Output Format:
image
LLM NameTIPO 500M
Repository 🤗https://huggingface.co/KBlueLeaf/TIPO-500M 
Model Size500m
Required VRAM1 GB
Updated2026-04-20
MaintainerKBlueLeaf
Model Typellama
Model Files  1.0 GB   2.0 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32013
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than KBlueLeaf/TIPO-500M.

Rank the TIPO 500M 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