What are the hardware requirements for Qwen3.5 2B EU Tool JARVIS Native V1?

Qwen3.5 2B EU Tool JARVIS Native V1 requires approximately 9.6 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 Qwen3.5 2B EU Tool JARVIS Native V1 and how large is it?

Qwen3.5 2B EU Tool JARVIS Native V1 is developed by JJarvinen, a model with 2b 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 Qwen3.5 2B EU Tool JARVIS Native V1?

Qwen3.5 2B EU Tool JARVIS Native V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 2B EU Tool JARVIS Native V1 by JJarvinen — VRAM 9.6GB, 256K context

Name: Qwen3.5 2B EU Tool JARVIS Native V1
Author: JJarvinen

Qwen3.5 2B EU Tool JARVIS Native V1 is an open-source language model by JJarvinen. Features: 2b LLM, VRAM: 9.6GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:birgermoell/qwen3.5... Base model:finetune:birgermoel... Conversational En Endpoints compatible Qwen3 5 text Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/JJarvinen/Qwen3.5-2B-EU-Tool-JARVIS-Native-v1

Qwen3.5 2B EU Tool JARVIS Native V1 Parameters and Internals

LLM Name	Qwen3.5 2B EU Tool JARVIS Native V1
Repository 🤗	https://huggingface.co/JJarvinen/Qwen3.5-2B-EU-Tool-JARVIS-Native-v1
Base Model(s)	birgermoell/Qwen3.5-2B-EU birgermoell/Qwen3.5-2B-EU
Model Size	2b
Required VRAM	9.6 GB
Updated	2026-09-09
Maintainer	JJarvinen
Model Type	qwen3_5_text
Model Files	9.6 GB
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Torch Data Type	float32
Errors	replace

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
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