What are the hardware requirements for SupraNeo 4M?

SupraNeo 4M requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SupraNeo 4M and how large is it?

SupraNeo 4M is developed by SupraLabs, a model with 4m 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 SupraNeo 4M?

SupraNeo 4M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SupraNeo 4M by SupraLabs — 1K context

Name: SupraNeo 4M
Author: SupraLabs

SupraNeo 4M is an open-source language model by SupraLabs. Features: 4m LLM, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.38.

Co2 eq emissions Dataset:huggingfacefw/fineweb-... Dataset:mlfoundations/dclm-bas... En Endpoints compatible Pretrained-from-scratch Qwen3 Region:us Research Safetensors Small Tiny

Model Card on HF 🤗: https://huggingface.co/SupraLabs/SupraNeo-4M

SupraNeo 4M Parameters and Internals

LLM Name	SupraNeo 4M
Repository 🤗	https://huggingface.co/SupraLabs/SupraNeo-4M
Model Size	4m
Required VRAM	0 GB
Updated	2026-09-09
Maintainer	SupraLabs
Model Type	qwen3
Model Files	0.0 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	5.16.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	4096

Rank the SupraNeo 4M 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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