What are the hardware requirements for TIPO 500M?

TIPO 500M requires approximately 1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TIPO 500M and how large is it?

TIPO 500M is developed by KBlueLeaf, a model with 500m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate TIPO 500M?

TIPO 500M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TIPO 500M by KBlueLeaf — VRAM 1GB, 2K context

Name: TIPO 500M
Author: KBlueLeaf

TIPO 500M is an open-source language model by KBlueLeaf. Features: 500m LLM, VRAM: 1GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.2.

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

Model Card on HF 🤗: https://huggingface.co/KBlueLeaf/TIPO-500M

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 Name	TIPO 500M
Repository 🤗	https://huggingface.co/KBlueLeaf/TIPO-500M
Model Size	500m
Required VRAM	1 GB
Updated	2026-08-02
Maintainer	KBlueLeaf
Model Type	llama
Model Files	1.0 GB 2.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.44.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32013
Torch Data Type	float32

Rank the TIPO 500M capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to TIPO 500M

Best Alternatives	Context / RAM	Downloads	Likes
Carbon 500M	8K / 1 GB	921	24
H2o Danube3 500M Chat	8K / 1 GB	56465	42
Acheron D	8K / 1 GB	6	0
Acheron C	8K / 1 GB	5	0
Acheron	8K / 1 GB	6	0
Text Arco	8K / 1 GB	11	0
Arco Plus	8K / 1.6 GB	9	7
Danube Reasoner	8K / 1 GB	6	0
H2o Danube3 500M Base	8K / 1 GB	653	33
Clite 500M	8K / 1 GB	5	3

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