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

Supra 1.5 50M Base Exp requires approximately 0.2 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 Base Exp and how large is it?

Supra 1.5 50M Base 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 Base Exp?

Supra 1.5 50M Base 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 Base Exp by SupraLabs — VRAM 0.2GB, 5K context

Name: Supra 1.5 50M Base Exp
Author: SupraLabs

Supra 1.5 50M Base Exp is an open-source language model by SupraLabs. Features: 50m LLM, VRAM: 0.2GB, Context: 5K, License: apache-2.0, LLM Explorer Score: 0.35.

50m 5k-context Base Continued-pretraining En Endpoints compatible Llama Long-context Region:us Safetensors Supra Supra-1.5 Supra-50m

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

Supra 1.5 50M Base Exp Benchmarks

LLME Score: 0.34592

^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 1.5 50M Base Exp (SupraLabs/Supra-1.5-50M-Base-exp)

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Supra 1.5 50M Base Exp Parameters and Internals

LLM Name	Supra 1.5 50M Base Exp
Repository 🤗	https://huggingface.co/SupraLabs/Supra-1.5-50M-Base-exp
Model Size	50m
Required VRAM	0.2 GB
Updated	2026-07-06
Maintainer	SupraLabs
Model Type	llama
Model Files	0.2 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	5120
Model Max Length	5120
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	32000

Best Alternatives to Supra 1.5 50M Base Exp

Best Alternatives	Context / RAM	Downloads	Likes
Nyun C2 Llama3 50B	8K / 100.8 GB	7	11
Supra Title 50M Pre	5K / 0.1 GB	143	4
Quark 50M	2K / 0.1 GB	2526	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	3810	51
Supra 50M Instruct ONNX	1K / GB	113	4
Supra 50M Base	1K / 0.2 GB	0	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-1.5-50M-Base-exp.

Rank the Supra 1.5 50M Base Exp 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

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Supra 1.5 50M Base Exp by SupraLabs

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Supra 1.5 50M Base Exp Benchmarks

Supra 1.5 50M Base Exp Parameters and Internals

Best Alternatives to Supra 1.5 50M Base Exp

Rank the Supra 1.5 50M Base Exp Capabilities

What open-source LLMs or SLMs are you in search of? 54840 in total.