What are the hardware requirements for Agron?

Agron requires approximately 0.2 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Agron and how large is it?

Agron is developed by teddyoas, a model with 50.3m 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 Agron?

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

Agron by teddyoas — VRAM 0.2GB, 0.5K context

Name: Agron
Author: teddyoas

Agron is an open-source language model by teddyoas. Features: 50.3m LLM, VRAM: 0.2GB, Context: 0.5K, License: mit, LLM Explorer Score: 0.31.

Agron Code Cybersecurity Domain-pretrained En Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/teddyoas/Agron

Agron Parameters and Internals

LLM Name	Agron
Repository 🤗	https://huggingface.co/teddyoas/Agron
Model Size	50.3m
Required VRAM	0.2 GB
Updated	2026-10-28
Maintainer	teddyoas
Model Type	llama
Model Files	0.2 GB 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	512
Model Max Length	512
Transformers Version	5.20.2
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	16384

Rank the Agron 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 Agron

Best Alternatives	Context / RAM	Downloads	Likes
TinyStories Ko Edu	0.5K / 0.2 GB	5	0