What are the hardware requirements for Supertron2.1 0.6B?

Supertron2.1 0.6B requires approximately 0.8 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Supertron2.1 0.6B and how large is it?

Supertron2.1 0.6B is developed by Surpem, a model with 0.6b 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 Supertron2.1 0.6B?

Supertron2.1 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Supertron2.1 0.6B by Surpem — VRAM 0.8GB, 40K context

Name: Supertron2.1 0.6B
Author: Surpem

Supertron2.1 0.6B is an open-source language model by Surpem. Features: 0.6b LLM, VRAM: 0.8GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Chat Coding Conversational En Endpoints compatible Instruct Instruction-tuned Math Pytorch Qwen3 Reasoning Region:us Safetensors Surpem

Model Card on HF 🤗: https://huggingface.co/Surpem/Supertron2.1-0.6B

Supertron2.1 0.6B Parameters and Internals

LLM Name	Supertron2.1 0.6B
Repository 🤗	https://huggingface.co/Surpem/Supertron2.1-0.6B
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	0.8 GB
Updated	2026-05-27
Maintainer	Surpem
Model Type	qwen3
Instruction-Based	Yes
Model Files	0.8 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.9.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Supertron2.1 0.6B 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 Supertron2.1 0.6B

Best Alternatives	Context / RAM	Downloads	Likes
Quipu 0.6B	40K / 1.2 GB	351	4
Qwen3 0.6B Instruct	40K / 1.5 GB	29	0
Luth 0.6B Instruct	40K / 1.2 GB	324	9
Qwen 0.6B Instruct	32K / 1.2 GB	281	0
Math Instruct V1	32K / 1.2 GB	49	3
... 0.6B Instruction Finetuned V2	32K / 1.2 GB	17	0
...en3 0.6B Instruction Finetuned	32K / 1.2 GB	49	0

Note: green Score (e.g. "73.2") means that the model is better than Surpem/Supertron2.1-0.6B.