What are the hardware requirements for Supra 50M Instruct?

Supra 50M Instruct requires approximately 0.1 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 Instruct and how large is it?

Supra 50M Instruct 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 Instruct?

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

Supra 50M Instruct by SupraLabs — VRAM 0.1GB, 1K context

Name: Supra 50M Instruct
Author: SupraLabs

Supra 50M Instruct is an open-source language model by SupraLabs. Features: 50m LLM, VRAM: 0.1GB, Context: 1K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.3.

50m Base model:quantized:supralabs... Base model:supralabs/supra-50m... Chimera Conversational Cpu Dataset:huggingfacefw/fineweb-... Dataset:yahma/alpaca-cleaned En Endpoints compatible Gguf Instruct Llama Open Open-source Quantized Region:us Safetensors Slm Small Supra Tiny

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

Supra 50M Instruct Parameters and Internals

LLM Name	Supra 50M Instruct
Repository 🤗	https://huggingface.co/SupraLabs/Supra-50M-Instruct
Base Model(s)	Supra 50M Base SupraLabs/Supra-50M-Base
Model Size	50m
Required VRAM	0.1 GB
Updated	2026-06-02
Maintainer	SupraLabs
Model Type	llama
Instruction-Based	Yes
Model Files	0.1 GB 0.1 GB 0.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
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

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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

Best Alternatives to Supra 50M Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Supra 1.5 50M Instruct Exp	5K / 0.1 GB	2307	49
Supra1.5 50M Instruct Exp	5K / 0.1 GB	2023	49
Quark 50M Instruct	2K / 0.1 GB	946	2
Supra 50M Instruct ONNX	1K / GB	52	4