What are the hardware requirements for Qwen3.5 35B A3B GPTQ Int4?

Qwen3.5 35B A3B GPTQ Int4 requires approximately 24.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 35B A3B GPTQ Int4 and how large is it?

Qwen3.5 35B A3B GPTQ Int4 is developed by Qwen, 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 Qwen3.5 35B A3B GPTQ Int4?

Qwen3.5 35B A3B GPTQ Int4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 35B A3B GPTQ Int4 by Qwen — VRAM 24.3GB

Name: Qwen3.5 35B A3B GPTQ Int4
Author: Qwen

Qwen3.5 35B A3B GPTQ Int4 is an open-source language model by Qwen. Features: 35b LLM, VRAM: 24.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.

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

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3.5-35B-A3B-GPTQ-Int4

Qwen3.5 35B A3B GPTQ Int4 Parameters and Internals

LLM Name	Qwen3.5 35B A3B GPTQ Int4
Repository 🤗	https://huggingface.co/Qwen/Qwen3.5-35B-A3B-GPTQ-Int4
Base Model(s)	Qwen/Qwen3.5-35B-A3B Qwen/Qwen3.5-35B-A3B
Model Size	35b
Required VRAM	24.3 GB
Updated	2026-08-09
Maintainer	Qwen
Model Type	qwen3_5_moe
Model Files	1.4 GB: 1-of-14 1.4 GB: 2-of-14 1.4 GB: 3-of-14 1.4 GB: 4-of-14 1.4 GB: 5-of-14 1.4 GB: 6-of-14 1.4 GB: 7-of-14 1.4 GB: 8-of-14 2.9 GB: 9-of-14 1.4 GB: 10-of-14 1.4 GB: 11-of-14 1.4 GB: 12-of-14 3.8 GB: 13-of-14 2.2 GB: 14-of-14
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 35B A3B GPTQ Int4 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 Qwen3.5 35B A3B GPTQ Int4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B GPTQ Int4	0K / 22.7 GB	282964	29
Qwen3.5 35B A3B GPTQ Int4	0K / 21.7 GB	31	4
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 6bit	0K / 28.9 GB	2742	8
Qwen3.6 35B A3B 5bit	0K / 24.7 GB	1628	5
Qwen3.6 35B A3B 4bit	0K / 20.5 GB	62036	92
Qwen3.6 35B A3B 8bit	0K / 37.8 GB	120175	27
Ornith 1.0 35B 4bit	0K / 20.5 GB	6835	13
Qwen3.6 35B A3B OptiQ 4bit	0K / 22.1 GB	14730	44

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3.5-35B-A3B-GPTQ-Int4.