What are the hardware requirements for Qwen3.6 35B A3B 8bit?

Qwen3.6 35B A3B 8bit requires approximately 37.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 35B A3B 8bit and how large is it?

Qwen3.6 35B A3B 8bit 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 8bit?

Qwen3.6 35B A3B 8bit 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 8bit by mlx-community — VRAM 37.8GB

Name: Qwen3.6 35B A3B 8bit
Author: mlx-community

Qwen3.6 35B A3B 8bit is an open-source language model by mlx-community. Features: 35b LLM, VRAM: 37.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.32.

8-bit 8bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3... Conversational Image-text-to-text Mlx Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-8bit

Qwen3.6 35B A3B 8bit Parameters and Internals

LLM Name	Qwen3.6 35B A3B 8bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-8bit
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	37.8 GB
Updated	2026-08-06
Maintainer	mlx-community
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-8 5.4 GB: 2-of-8 5.4 GB: 3-of-8 5.4 GB: 4-of-8 5.4 GB: 5-of-8 5.4 GB: 6-of-8 5.0 GB: 7-of-8 0.5 GB: 8-of-8
Quantization Type	8bit
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.6 35B A3B 8bit 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

Quantized Models of the Qwen3.6 35B A3B 8bit

Model	Downloads	VRAM
...6 23B A3B Niwaki V2.2 2bit Mlx	122	9 GB
...6 23B A3B Niwaki V2.2 4bit Mlx	25	14 GB
...6 23B A3B Niwaki V2.1 2bit Mlx	20	9 GB
...6 23B A3B Niwaki V2.1 4bit Mlx	19	14 GB
...wen3.6 27B A3B Niwaki 2bit Mlx	153	10 GB
...wen3.6 19B A3B Niwaki 2bit Mlx	151	7 GB
...3.6 19B A3B Niwaki V2 2bit Mlx	39	7 GB
...3.6 19B A3B Niwaki V2 4bit Mlx	11	11 GB
...wen3.6 11B A3B Niwaki 4bit Mlx	14	7 GB

Best Alternatives to Qwen3.6 35B A3B 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B MLX 4bit	0K / 20.5 GB	513193	6
Qwen3.6 35B A3B MLX 6bit	0K / 28.9 GB	478592	2
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	473537	1
Qwen3.6 35B A3B UD MLX 4bit	0K / 21.6 GB	15720	112
Qwen3.6 35B A3B OQ4e Fp16 Mtp	0K / 22.4 GB	187	1
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	3862	41
Qwen3.6 35B A3B 2Bit GSQ	0K / 13.5 GB	2119	7
Qwen3.6 35B A3B 6bit	0K / 28.9 GB	2742	8
Qwen3.6 35B A3B UD MLX 3bit	0K / 17.3 GB	2292	13
Nail Qwen3.6 35B A3B MLX 5bit	0K / 27.5 GB	83	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.6-35B-A3B-8bit.