What are the hardware requirements for Supra 1.5 50M Instruct Exp?

Supra 1.5 50M Instruct Exp 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 1.5 50M Instruct Exp and how large is it?

Supra 1.5 50M Instruct Exp 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 1.5 50M Instruct Exp?

Supra 1.5 50M Instruct Exp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Supra 1.5 50M Instruct Exp by SupraLabs — VRAM 0.1GB, 5K context

Name: Supra 1.5 50M Instruct Exp
Author: SupraLabs

Supra 1.5 50M Instruct Exp is an open-source language model by SupraLabs. Features: 50m LLM, VRAM: 0.1GB, Context: 5K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

50m Base model:finetune:supralabs/... Base model:supralabs/supra-1.5... Chimera Cpu En Gpt Instruct Llama Open Open-source Project-chimera Qna Region:us Safetensors Slm Supra Tiny

Model Card on HF 🤗: https://huggingface.co/SupraLabs/Supra-1.5-50M-Instruct-exp

Supra 1.5 50M Instruct Exp Parameters and Internals

LLM Name	Supra 1.5 50M Instruct Exp
Repository 🤗	https://huggingface.co/SupraLabs/Supra-1.5-50M-Instruct-exp
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	2026-08-01
Maintainer	SupraLabs
Model Type	llama
Instruction-Based	Yes
Model Files	0.1 GB 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	5120
Model Max Length	5120
Transformers Version	5.8.1
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	32000

Rank the Supra 1.5 50M Instruct Exp 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

Best Alternatives to Supra 1.5 50M Instruct Exp

Best Alternatives	Context / RAM	Downloads	Likes
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
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-1.5-50M-Instruct-exp.