What are the hardware requirements for Supertron3 0.8B?

Supertron3 0.8B requires approximately 1.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Supertron3 0.8B and how large is it?

Supertron3 0.8B is developed by Surpem, a model with 0.8b 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 Supertron3 0.8B?

Supertron3 0.8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Supertron3 0.8B by Surpem — VRAM 1.7GB

Name: Supertron3 0.8B
Author: Surpem

Supertron3 0.8B is an open-source language model by Surpem. Features: 0.8b LLM, VRAM: 1.7GB, License: apache-2.0, LLM Explorer Score: 0.29.

Action Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b Computer use Conversational Edge En Endpoints compatible Gui agents Image-text-to-text Multimodal Pytorch Qwen3 5 Region:us Safetensors Tool-calling

Model Card on HF 🤗: https://huggingface.co/Surpem/Supertron3-0.8B

Supertron3 0.8B Parameters and Internals

LLM Name	Supertron3 0.8B
Repository 🤗	https://huggingface.co/Surpem/Supertron3-0.8B
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.7 GB
Updated	2026-08-23
Maintainer	Surpem
Model Type	qwen3_5
Model Files	1.7 GB
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.16.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Supertron3 0.8B 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 Supertron3 0.8B

Best Alternatives	Context / RAM	Downloads	Likes
OvisOCR2	0K / 1.7 GB	151848	414
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92
Soreqen S1 Mini	0K / 1.7 GB	288	1
Qwen3.5 0.8B	0K / 1.8 GB	47663	19
AfriqueQwen3.5 0.8B 50Langs	0K / 2.2 GB	364	2
SingGuard NSFA 0.8B	0K / 2.2 GB	953	5
Ai Course Classifier	0K / 1.7 GB	161	1
Qwen3.5 0.8B Manumit V1	0K / 1.7 GB	129	0
Qwen3.5 0.8B Heretic	0K / 1.7 GB	58	2

Note: green Score (e.g. "73.2") means that the model is better than Surpem/Supertron3-0.8B.