What are the hardware requirements for Qwen3.8 27B DSpark?

Qwen3.8 27B DSpark requires approximately 2.7 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 Qwen3.8 27B DSpark and how large is it?

Qwen3.8 27B DSpark is developed by RadixArk, a model with 27b 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 Qwen3.8 27B DSpark?

Qwen3.8 27B DSpark is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B DSpark by RadixArk — VRAM 2.7GB, 256K context

Name: Qwen3.8 27B DSpark
Author: RadixArk

Qwen3.8 27B DSpark is an open-source language model by RadixArk. Features: 27b LLM, VRAM: 2.7GB, Context: 256K, License: other, LLM Explorer Score: 0.43.

Custom code Dflash Dspark Feature-extraction Qwen3 Region:us Safetensors Sglang Specforge Speculative-decoding

Model Card on HF 🤗: https://huggingface.co/RadixArk/Qwen3.8-27B-DSpark

Qwen3.8 27B DSpark Parameters and Internals

LLM Name	Qwen3.8 27B DSpark
Repository 🤗	https://huggingface.co/RadixArk/Qwen3.8-27B-DSpark
Model Size	27b
Required VRAM	2.7 GB
Updated	2026-08-15
Maintainer	RadixArk
Model Type	qwen3
Model Files	2.7 GB
Model Architecture	DSparkDraftModel
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.12.1
Vocabulary Size	248320

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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