maritaca-ai/S5-nano

image-text-to-text model by maritaca-ai

Open original source ↗

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

S5-nano is a 4B-parameter model from Maritaca AI. It has two modes: The context window supports up to 262,144 tokens, and the weights include an MTP (multi-token prediction) layer for speculative decoding. FP8 is recommended for GPUs with native FP8 support (Ada, Hopper, and Blackwell). The GGUF repository provides BF16, Q80, and Q4KM variants. Explore the results in Observatório Maritaca Results for the original S5-nano checkpoint, evaluated in BF16 on text tasks. Each primary metric is weighted equally. Model Mode Native BR Translated PT Non-native Total Coverage Think S5-nano 🇧🇷 Think 83.74 86.94 54.11 75.25 23/23 Qwen3.5-4B Think 72.49 87.61 54.82 68.68 23/23 LFM2.5-24B-A2B Think 69.68 87.30 56.45 67.06 23/23 Nemotron 3.5 Bolt E4B Think 71.42 84.92 50.78 64.95 23/23 Gemma 4 E4B Think 71.64 83.82 47.22 63.68 23/23 LFM3-1.7B Think 57.60 74.76 50.71 57.94 23/23 Lumi 4B 🇧🇷 Think 52.68 52.50 33.97 44.77 23/23 Tucano2-qwen-3.7B 🇧🇷 Think 34.83 46.12…

maritaca-ai/S5-nano on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-08T09:41:33.725Z

Inside the original model card — Document outline
  1. S5-nano
  2. Versions
  3. Evaluation results
  4. Averages
  5. Results by benchmark
  6. S5-nano evaluation setup
  7. Recommended generation parameters
  8. Serving with vLLM
  9. Requests with curl
  10. Requests with the OpenAI library
  11. Serving with llama.cpp

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

maritaca-ai/S5-nano is a image-text-to-text model repository published by maritaca-ai on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-text-to-text
Library
transformers
Recent downloads (30 days)
263
Cumulative likes
57
Hugging Face trending score
56
Reported safetensors parameters
4,659,865,088
Architecture
Qwen3_5ForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-11-02T13:34:24.000Z
Last modified
2026-11-06T18:30:33.000Z

Compatibility and lineage

Reported languages: pt, en

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-08T06:53:26.831Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

microsoft/Florence-2-base

Qwen/Qwen3.8-27B

google/gemma-4-31B-it

Qwen/Qwen3-VL-8B-Instruct

ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF

zai-org/GLM-5.3-Flash