What are the hardware requirements for Sovythos 66M Base?

Sovythos 66M Base requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sovythos 66M Base and how large is it?

Sovythos 66M Base is developed by sovythos, a model with 66m 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 Sovythos 66M Base?

Sovythos 66M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sovythos 66M Base by sovythos — VRAM 0.3GB

Name: Sovythos 66M Base
Author: sovythos

Sovythos 66M Base is an open-source language model by sovythos. Features: 66m LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.3.

Ar Arabic Code Conversational Custom code En English Open-source Pytorch Region:us Safetensors Sovereign Sovythos

Model Card on HF 🤗: https://huggingface.co/sovythos/Sovythos-66M-Base

Sovythos 66M Base Parameters and Internals

LLM Name	Sovythos 66M Base
Repository 🤗	https://huggingface.co/sovythos/Sovythos-66M-Base
Model Size	66m
Required VRAM	0.3 GB
Updated	2026-09-20
Maintainer	sovythos
Model Type	sovythos
Model Files	0.3 GB
Supported Languages	en ar
Model Architecture	SovythosModel
License	apache-2.0
Model Max Length	512
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	32000

Rank the Sovythos 66M Base 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

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