What are the hardware requirements for Qwen3 1.7B DSpark?

Qwen3 1.7B DSpark requires approximately 0.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B DSpark and how large is it?

Qwen3 1.7B DSpark is developed by rasyosef, a model with 1.7b 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 1.7B DSpark?

Qwen3 1.7B DSpark is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B DSpark by rasyosef — VRAM 0.6GB

Name: Qwen3 1.7B DSpark
Author: rasyosef

Qwen3 1.7B DSpark is an open-source language model by rasyosef. Features: 1.7b LLM, VRAM: 0.6GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Custom code Draft-model Dspark Endpoints compatible Region:us Safetensors Speculative-decoding Speculators Vllm

Model Card on HF 🤗: https://huggingface.co/rasyosef/Qwen3-1.7B-DSpark

Qwen3 1.7B DSpark Parameters and Internals

LLM Name	Qwen3 1.7B DSpark
Repository 🤗	https://huggingface.co/rasyosef/Qwen3-1.7B-DSpark
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	0.6 GB
Updated	2026-10-08
Maintainer	rasyosef
Model Files	0.6 GB
Model Architecture	DSparkDraftModel
License	apache-2.0
Transformers Version	5.16.1

Rank the Qwen3 1.7B DSpark 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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