What are the hardware requirements for Qwen3.6 35B A3B DFlash2 4bit?

Qwen3.6 35B A3B DFlash2 4bit requires approximately 0.5 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 Qwen3.6 35B A3B DFlash2 4bit and how large is it?

Qwen3.6 35B A3B DFlash2 4bit is developed by mlx-community, a model with 35b 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 Qwen3.6 35B A3B DFlash2 4bit?

Qwen3.6 35B A3B DFlash2 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 35B A3B DFlash2 4bit by mlx-community — VRAM 0.5GB, 256K context

Name: Qwen3.6 35B A3B DFlash2 4bit
Author: mlx-community

Qwen3.6 35B A3B DFlash2 4bit is an open-source language model by mlx-community. Features: 35b LLM, VRAM: 0.5GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.

4-bit 4bit Base model:incoai/qwen3.6-35b-... Base model:quantized:incoai/qw... Dflash2 Mlx Quantized Qwen3 Qwen3.6 Region:us Safetensors Speculative-decoding

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-DFlash2-4bit

Qwen3.6 35B A3B DFlash2 4bit Parameters and Internals

LLM Name	Qwen3.6 35B A3B DFlash2 4bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-DFlash2-4bit
Base Model(s)	incoai/Qwen3.6-35B-A3B-Splash incoai/Qwen3.6-35B-A3B-Splash
Model Size	35b
Required VRAM	0.5 GB
Updated	2026-09-26
Maintainer	mlx-community
Model Type	qwen3
Model Files	0.5 GB
Quantization Type	4bit
Model Architecture	DFlash2DraftModel
License	apache-2.0
Context Length	262144
Model Max Length	262144
Vocabulary Size	248320

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Best Alternatives to Qwen3.6 35B A3B DFlash2 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B DFlash2	256K / 1.1 GB	271	5