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

Qwen3.6 35B A3B MLX 4bit requires approximately 20.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 35B A3B MLX 4bit and how large is it?

Qwen3.6 35B A3B MLX 4bit is developed by lmstudio-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.

How does Qwen3.6 35B A3B MLX 4bit perform on standard benchmarks?

Qwen3.6 35B A3B MLX 4bit has the following published scores: LMSYS ELO 1395. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen3.6 35B A3B MLX 4bit by lmstudio-community — VRAM 20.5GB

Name: Qwen3.6 35B A3B MLX 4bit
Author: lmstudio-community

Qwen3.6 35B A3B MLX 4bit is an open-source language model by lmstudio-community. Features: 35b LLM, VRAM: 20.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.48, ELO: 1395.

4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3... Conversational Endpoints compatible Image-text-to-text Mlx Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

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

Qwen3.6 35B A3B MLX 4bit Benchmarks

LMSys ELO 1395 vs 1272 (so35) 9.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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

LLM Name	Qwen3.6 35B A3B MLX 4bit
Repository 🤗	https://huggingface.co/lmstudio-community/Qwen3.6-35B-A3B-MLX-4bit
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	20.5 GB
Updated	2026-08-09
Maintainer	lmstudio-community
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-4 5.4 GB: 2-of-4 5.4 GB: 3-of-4 4.4 GB: 4-of-4
Quantization Type	4bit
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 MLX 4bit 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

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Qwen3.6 35B A3B MLX 6bit	0K / 28.9 GB	478592	2
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Qwen3.6 35B A3B 4bit	0K / 20.5 GB	62036	92
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