What are the hardware requirements for Supra 50M Base?

Supra 50M Base requires approximately 0.2 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Supra 50M Base and how large is it?

Supra 50M Base is developed by SupraLabs, a model with 50m 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 Supra 50M Base?

Supra 50M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Supra 50M Base by SupraLabs — VRAM 0.2GB, 1K context

Name: Supra 50M Base
Author: SupraLabs

Supra 50M Base is an open-source language model by SupraLabs. Features: 50m LLM, VRAM: 0.2GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.25.

50m Chimera Cpu Dataset:huggingfacefw/fineweb-... En Endpoints compatible Llama Open Open-source Region:us Safetensors Slm Small Supra Tiny

Model Card on HF 🤗: https://huggingface.co/SupraLabs/Supra-50M-Base

Supra 50M Base Benchmarks

LLME Score: 0.2548

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Supra 50M Base (SupraLabs/Supra-50M-Base)

🌟 Advertise your project 🚀

Supra 50M Base Parameters and Internals

LLM Name	Supra 50M Base
Repository 🤗	https://huggingface.co/SupraLabs/Supra-50M-Base
Model Size	50m
Required VRAM	0.2 GB
Updated	2026-05-22
Maintainer	SupraLabs
Model Type	llama
Model Files	0.2 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	5.8.1
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	32000

Quantized Models of the Supra 50M Base

Model	Likes	Downloads	VRAM
Supra 50M Instruct	35	8380	0 GB

Best Alternatives to Supra 50M Base

Best Alternatives	Context / RAM	Downloads	Likes
Nyun C2 Llama3 50B	8K / 100.8 GB	22	11
Quark 50M	2K / 0.1 GB	2473	4
Quark 50M Instruct	2K / 0.1 GB	946	2
Tf3 50M Base	2K / 0.2 GB	12	0
Supra 50M Reasoning	1K / 0.1 GB	35	8
Supra 50M Instruct ONNX	1K / GB	80	3
Toyllama 50M	0.3K / 0.2 GB	11	0
Supra 50M Instruct	1K / 0.1 GB	8380	35

Note: green Score (e.g. "73.2") means that the model is better than SupraLabs/Supra-50M-Base.

Rank the Supra 50M Base Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 54415 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Supra 50M Base by SupraLabs