What are the hardware requirements for Agtic 1?

Agtic 1 requires approximately 16.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Agtic 1 and how large is it?

Agtic 1 is developed by beyoru, a model with 4b 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 Agtic 1?

Agtic 1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Agtic 1 by beyoru — VRAM 16.1GB, 256K context

Name: Agtic 1
Author: beyoru

Agtic 1 is an open-source language model by beyoru. Features: 4b LLM, VRAM: 16.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.2.

Autotrain compatible Base model:beyoru/agtic-1 Base model:finetune:beyoru/agt... Conversational En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/beyoru/Agtic-1

Agtic 1 Parameters and Internals

LLM Name	Agtic 1
Repository 🤗	https://huggingface.co/beyoru/Agtic-1
Base Model(s)	Agtic 1 beyoru/Agtic-1
Model Size	4b
Required VRAM	16.1 GB
Updated	2025-08-24
Maintainer	beyoru
Model Type	qwen3
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Agtic 1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Agtic 1

Best Alternatives	Context / RAM	Downloads	Likes
Fable Traces	256K / 8.1 GB	5530	209
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	5	0
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Typhoon2.5 Qwen3 4B	256K / 8 GB	489877	6
Neuron 4B Instruct	256K / 8.1 GB	313	1

Note: green Score (e.g. "73.2") means that the model is better than beyoru/Agtic-1.