What are the hardware requirements for Qwen3.5 27B DFlash?

Qwen3.5 27B DFlash requires approximately 4.3 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 27B DFlash and how large is it?

Qwen3.5 27B DFlash is developed by z-lab, 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 Qwen3.5 27B DFlash?

Qwen3.5 27B DFlash is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 27B DFlash by z-lab — VRAM 4.3GB, 256K context

Name: Qwen3.5 27B DFlash
Author: z-lab

Qwen3.5 27B DFlash is an open-source language model by z-lab. Features: 27b LLM, VRAM: 4.3GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

Arxiv:2602.06036 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-27b Block-diffusion Custom code Dflash Diffusion-language-model Draft-model Efficiency Feature-extraction Qwen Qwen3 Qwen3.5 Region:us Safetensors Sglang Speculative-decoding Speculative-decoding-draft

Model Card on HF 🤗: https://huggingface.co/z-lab/Qwen3.5-27B-DFlash

Qwen3.5 27B DFlash Parameters and Internals

LLM Name	Qwen3.5 27B DFlash
Repository 🤗	https://huggingface.co/z-lab/Qwen3.5-27B-DFlash
Base Model(s)	Qwen/Qwen3.5-27B Qwen/Qwen3.5-27B
Model Size	27b
Required VRAM	4.3 GB
Updated	2026-07-17
Maintainer	z-lab
Model Type	qwen3
Model Files	4.3 GB
Model Architecture	DFlashDraftModel
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.7.0
Vocabulary Size	248320

Rank the Qwen3.5 27B DFlash 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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