What are the hardware requirements for ByteMythos?

ByteMythos requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ByteMythos and how large is it?

ByteMythos is developed by SAXON-AI, a model with 1.5b 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 ByteMythos?

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

ByteMythos by SAXON-AI — VRAM 0.1GB

Name: ByteMythos
Author: SAXON-AI

ByteMythos is an open-source language model by SAXON-AI. Features: 1.5b LLM, VRAM: 0.1GB, License: ms-pl, LLM Explorer Score: 0.24.

Anglofable Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b En Region:us

Model Card on HF 🤗: https://huggingface.co/SAXON-AI/ByteMythos

ByteMythos Parameters and Internals

LLM Name	ByteMythos
Repository 🤗	https://huggingface.co/SAXON-AI/ByteMythos
Base Model(s)	maidacundo/open-mythos-hf Qwen/Qwen2.5-1.5B maidacundo/open-mythos-hf Qwen/Qwen2.5-1.5B
Model Size	1.5b
Required VRAM	0.1 GB
Updated	2026-10-11
Maintainer	SAXON-AI
Model Type	anglofable
Model Files	0.1 GB
Supported Languages	en
License	ms-pl
Transformers Version	5.6.2
Is Biased	0
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
Code Generation
Multi-Language Support and Translation