What are the hardware requirements for Qwen3.8 27B DFlash2 Exp?

Qwen3.8 27B DFlash2 Exp requires approximately 3.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B DFlash2 Exp and how large is it?

Qwen3.8 27B DFlash2 Exp is developed by DaoCloud, 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 DFlash2 Exp?

Qwen3.8 27B DFlash2 Exp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B DFlash2 Exp by DaoCloud — VRAM 3.9GB

Name: Qwen3.8 27B DFlash2 Exp
Author: DaoCloud

Qwen3.8 27B DFlash2 Exp is an open-source language model by DaoCloud. Features: 27b LLM, VRAM: 3.9GB, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Block-diffusion Custom code Dflash2 Draft-model Region:us Safetensors Speculative-decoding Speculators Vllm

Model Card on HF 🤗: https://huggingface.co/DaoCloud/Qwen3.8-27B-DFlash2-Exp

Qwen3.8 27B DFlash2 Exp Parameters and Internals

LLM Name	Qwen3.8 27B DFlash2 Exp
Repository 🤗	https://huggingface.co/DaoCloud/Qwen3.8-27B-DFlash2-Exp
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	3.9 GB
Updated	2026-08-30
Maintainer	DaoCloud
Model Files	3.9 GB
Model Architecture	DFlash2DraftModel
License	apache-2.0
Transformers Version	5.15.1

Rank the Qwen3.8 27B DFlash2 Exp 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

Best Alternatives to Qwen3.8 27B DFlash2 Exp

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B DFlash2	256K / 3.9 GB	17062	124
Qwen3.8 27B DFlash2	256K / 3.9 GB	12235	148
Qwen3.8 27B DFlash2 Memra	256K / 3.9 GB	831	1
...wen3.8 27B Heretic Ara DFlash2	256K / 3.9 GB	371	1
Qwen3.8 27B DFlash2 FP16	256K / 3.9 GB	242	1

Note: green Score (e.g. "73.2") means that the model is better than DaoCloud/Qwen3.8-27B-DFlash2-Exp.