What are the hardware requirements for Supra Router 51M?

Supra Router 51M requires approximately 0.1 GB of VRAM and supports a context window of 5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Supra Router 51M and how large is it?

Supra Router 51M 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 Router 51M?

Supra Router 51M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Supra Router 51M by SupraLabs — VRAM 0.1GB, 5K context

Name: Supra Router 51M
Author: SupraLabs

Supra Router 51M is an open-source language model by SupraLabs. Features: 50m LLM, VRAM: 0.1GB, Context: 5K, LLM Explorer Score: 0.34.

Base model:finetune:supralabs/... Base model:supralabs/supra-1.5... Dataset:supralabs/prompt-routi... Edge-computing En Endpoints compatible Llama Mixture-of-experts Orchestrator Region:us Router Safetensors Slm

Model Card on HF 🤗: https://huggingface.co/SupraLabs/Supra-Router-51M

Supra Router 51M Parameters and Internals

LLM Name	Supra Router 51M
Repository 🤗	https://huggingface.co/SupraLabs/Supra-Router-51M
Base Model(s)	SupraLabs/Supra-1.5-50M-Base-exp SupraLabs/Supra-1.5-50M-Base-exp
Model Size	50m
Required VRAM	0.1 GB
Updated	2026-07-17
Maintainer	SupraLabs
Model Type	llama
Model Files	0.1 GB 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	5120
Model Max Length	5120
Transformers Version	5.8.1
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	32000

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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
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Multi-Language Support and Translation

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