What are the hardware requirements for Qwen3.5 2B Qwenputer SPSQ?

Qwen3.5 2B Qwenputer SPSQ requires approximately 0.6 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 Qwenputer SPSQ and how large is it?

Qwen3.5 2B Qwenputer SPSQ is developed by rvindra, 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 Qwenputer SPSQ?

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

Qwen3.5 2B Qwenputer SPSQ by rvindra — VRAM 0.6GB, 256K context

Name: Qwen3.5 2B Qwenputer SPSQ
Author: rvindra

Qwen3.5 2B Qwenputer SPSQ is an open-source language model by rvindra. Features: 2b LLM, VRAM: 0.6GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

Arithmetic Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-2b Compiled-weights Conversational En Endpoints compatible Gated-deltanet Quantization Qwen3.5 Qwen3 5 text Qwenputer Region:us Risc-v Rv32im Spsq W4a16

Model Card on HF 🤗: https://huggingface.co/rvindra/Qwen3.5-2B-Qwenputer-SPSQ

Qwen3.5 2B Qwenputer SPSQ Parameters and Internals

LLM Name	Qwen3.5 2B Qwenputer SPSQ
Repository 🤗	https://huggingface.co/rvindra/Qwen3.5-2B-Qwenputer-SPSQ
Base Model(s)	Qwen/Qwen3.5-2B Qwen/Qwen3.5-2B
Model Size	2b
Required VRAM	0.6 GB
Updated	2026-11-11
Maintainer	rvindra
Model Type	qwen3_5_text
Model Files	0.6 GB 0.6 GB 1.8 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
Errors	replace

Rank the Qwen3.5 2B Qwenputer SPSQ 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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