What are the hardware requirements for Supra2 100M Base ONNX?

Supra2 100M Base ONNX requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Supra2 100M Base ONNX and how large is it?

Supra2 100M Base ONNX is developed by onnx-community, a model with 100m 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 Supra2 100M Base ONNX?

Supra2 100M Base ONNX is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Supra2 100M Base ONNX by onnx-community — 2K context

Name: Supra2 100M Base ONNX
Author: onnx-community

Supra2 100M Base ONNX is an open-source language model by onnx-community. Features: 100m LLM, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:quantized:supralabs... Base model:supralabs/supra2-10... Dataset:huggingfacefw/dclm 100... Dataset:huggingfacefw/fineweb-... En Onnx Qwen3 Region:us Small Sota Supra Supra2 Transformers.js

Model Card on HF 🤗: https://huggingface.co/onnx-community/Supra2-100M-Base-ONNX

Supra2 100M Base ONNX Parameters and Internals

LLM Name	Supra2 100M Base ONNX
Repository 🤗	https://huggingface.co/onnx-community/Supra2-100M-Base-ONNX
Base Model(s)	Supra2 100M Base SupraLabs/Supra2-100M-Base
Model Size	100m
Updated	2026-09-22
Maintainer	onnx-community
Model Type	qwen3
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.57.6
Vocabulary Size	32768

Rank the Supra2 100M Base ONNX 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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Vertex 0.6 100M 8192 Instruct	8K / 0.4 GB	373	0
...rtex 0.6 100M 8192 Instruct V2	8K / 0.4 GB	271	0
Vertex 0.6 100M 8192 Ctx Base	8K / 0.4 GB	162	2
Supra2 100M Base	2K / 0.4 GB	110	21
Supra2 100M Instruct	2K / 0.2 GB	1462	34