What are the hardware requirements for Maracatu 20M?

Maracatu 20M requires approximately 0.1 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Maracatu 20M and how large is it?

Maracatu 20M is developed by maracatu-labs, a model with 20m 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 Maracatu 20M?

Maracatu 20M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Maracatu 20M by maracatu-labs — VRAM 0.1GB, 0.5K context

Name: Maracatu 20M
Author: maracatu-labs

Maracatu 20M is an open-source language model by maracatu-labs. Features: 20m LLM, VRAM: 0.1GB, Context: 0.5K, License: apache-2.0, LLM Explorer Score: 0.24.

Arxiv:2403.09887 Arxiv:2411.07854 Brazilian-portuguese Dataset:wikimedia/wikipedia Endpoints compatible From-scratch Gguf Llama Model-index Portuguese Pt Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/maracatu-labs/maracatu-20m

Maracatu 20M Parameters and Internals

LLM Name	Maracatu 20M
Repository 🤗	https://huggingface.co/maracatu-labs/maracatu-20m
Model Size	20m
Required VRAM	0.1 GB
Updated	2026-08-05
Maintainer	maracatu-labs
Model Type	llama
Model Files	0.1 GB
Supported Languages	pt
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	512
Model Max Length	512
Transformers Version	5.5.4
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	16000

Rank the Maracatu 20M 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

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