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

Qwen3.8 27B DFlash requires approximately 3.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.8 27B DFlash is developed by asf0, 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 DFlash?

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

Qwen3.8 27B DFlash by asf0 — VRAM 3.6GB

Name: Qwen3.8 27B DFlash
Author: asf0

Qwen3.8 27B DFlash is an open-source language model by asf0. Features: 27b LLM, VRAM: 3.6GB, License: apache-2.0, LLM Explorer Score: 0.28.

Block-diffusion Custom code Dflash Draft-model Qwen3 Region:us Safetensors Speculative-decoding Speculators

Model Card on HF 🤗: https://huggingface.co/asf0/Qwen3.8-27B-DFlash

Qwen3.8 27B DFlash Parameters and Internals

LLM Name	Qwen3.8 27B DFlash
Repository 🤗	https://huggingface.co/asf0/Qwen3.8-27B-DFlash
Model Size	27b
Required VRAM	3.6 GB
Updated	2026-10-25
Maintainer	asf0
Model Files	3.6 GB
Model Architecture	DFlashDraftModel
License	apache-2.0
Transformers Version	5.16.1

Rank the Qwen3.8 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

Best Alternatives to Qwen3.8 27B DFlash

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 27B DFlash	256K / 4.3 GB	79081	111
Qwen3.8 27B Heretic Dflash	256K / 3.5 GB	9775	1

Note: green Score (e.g. "73.2") means that the model is better than asf0/Qwen3.8-27B-DFlash.