What are the hardware requirements for AuraGo Qwen3.5 4B?

AuraGo Qwen3.5 4B requires approximately 9.3 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 AuraGo Qwen3.5 4B and how large is it?

AuraGo Qwen3.5 4B is developed by antibyte, 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 AuraGo Qwen3.5 4B?

AuraGo Qwen3.5 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AuraGo Qwen3.5 4B by antibyte — VRAM 9.3GB, 256K context

Name: AuraGo Qwen3.5 4B
Author: antibyte

AuraGo Qwen3.5 4B is an open-source language model by antibyte. Features: 4b LLM, VRAM: 9.3GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.26.

Agentic Aurago Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-4b Conversational Endpoints compatible Function-calling German Qwen3.5 Qwen3 5 text Region:us Safetensors Sharded Tensorflow Tool-calling

Model Card on HF 🤗: https://huggingface.co/antibyte/AuraGo-Qwen3.5-4B

AuraGo Qwen3.5 4B Parameters and Internals

LLM Name	AuraGo Qwen3.5 4B
Repository 🤗	https://huggingface.co/antibyte/AuraGo-Qwen3.5-4B
Model Name	Qwen/Qwen3.5-4B
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	9.3 GB
Updated	2026-08-03
Maintainer	antibyte
Model Type	qwen3_5_text
Model Files	5.3 GB: 1-of-2 4.0 GB: 2-of-2
Model Architecture	AutoModel
License	apache-2.0
Context Length	262144
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Torch Data Type	bfloat16
Errors	replace

Rank the AuraGo Qwen3.5 4B 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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