What are the hardware requirements for Qwen3.5 2B Text Only?

Qwen3.5 2B Text Only requires approximately 3.8 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 Text Only and how large is it?

Qwen3.5 2B Text Only is developed by principled-intelligence, 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 Text Only?

Qwen3.5 2B Text Only is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 2B Text Only by principled-intelligence — VRAM 3.8GB, 256K context

Name: Qwen3.5 2B Text Only
Author: principled-intelligence

Qwen3.5 2B Text Only is an open-source language model by principled-intelligence. Features: 2b LLM, VRAM: 3.8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.23.

Conversational Endpoints compatible Qwen3 5 text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/principled-intelligence/Qwen3.5-2B-text-only

Qwen3.5 2B Text Only Parameters and Internals

LLM Name	Qwen3.5 2B Text Only
Repository 🤗	https://huggingface.co/principled-intelligence/Qwen3.5-2B-text-only
Model Size	2b
Required VRAM	3.8 GB
Updated	2026-07-21
Maintainer	principled-intelligence
Model Type	qwen3_5_text
Model Files	3.8 GB
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.5 2B Text Only 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

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Note: green Score (e.g. "73.2") means that the model is better than principled-intelligence/Qwen3.5-2B-text-only.