What are the hardware requirements for Supra2 Nano ONNX?

Supra2 Nano ONNX requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Supra2 Nano ONNX and how large is it?

Supra2 Nano ONNX is developed by onnx-community. 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 Supra2 Nano ONNX?

Supra2 Nano ONNX is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Supra2 Nano ONNX by onnx-community — 1K context

Name: Supra2 Nano ONNX
Author: onnx-community

Supra2 Nano ONNX is an open-source language model by onnx-community. Features: LLM, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.33.

Dataset:huggingfacefw/fineweb-... Dataset:semran1/cosmopedia-v2-... En From-scratch Onnx Qwen3 Region:us Small-language-model Transformers.js

Model Card on HF 🤗: https://huggingface.co/onnx-community/Supra2-Nano-ONNX

Supra2 Nano ONNX Parameters and Internals

LLM Name	Supra2 Nano ONNX
Repository 🤗	https://huggingface.co/onnx-community/Supra2-Nano-ONNX
Base Model(s)	Supralabs/Supra2-Nano Supralabs/Supra2-Nano
Updated	2026-08-19
Maintainer	onnx-community
Model Type	qwen3
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	4.57.6
Vocabulary Size	4096

Rank the Supra2 Nano ONNX 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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