What are the hardware requirements for Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency?

Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency requires approximately 19.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency and how large is it?

Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency is developed by Twu31, 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 GPTQ INT4 W4A16 LowLatency perform on standard benchmarks?

Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency 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 GPTQ INT4 W4A16 LowLatency by Twu31 — VRAM 19.3GB

Name: Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency
Author: Twu31

Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency is an open-source language model by Twu31. Features: 35b LLM, VRAM: 19.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.42, ELO: 1395.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3... Compressed-tensors Conversational En Endpoints compatible Gptq Image-text-to-text Int4 Llmcompressor Low-latency Marlin Moe Quantized Qwen3.5 Qwen3.6 Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Vllm Voice-agent W4a16 Zh

Model Card on HF 🤗: https://huggingface.co/Twu31/Qwen3.6-35B-A3B-GPTQ-INT4-W4A16-LowLatency

Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency 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 GPTQ INT4 W4A16 LowLatency Parameters and Internals

LLM Name	Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency
Repository 🤗	https://huggingface.co/Twu31/Qwen3.6-35B-A3B-GPTQ-INT4-W4A16-LowLatency
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	19.3 GB
Updated	2026-08-20
Maintainer	Twu31
Model Type	qwen3_5_moe
Model Files	3.0 GB: 1-of-6 4.0 GB: 2-of-6 4.0 GB: 3-of-6 4.0 GB: 4-of-6 4.0 GB: 5-of-6 0.3 GB: 6-of-6 0.5 GB 1.7 GB
Supported Languages	zh en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency 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 Qwen3.6 35B A3B GPTQ INT4 W4A16 LowLatency

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 / 24.3 GB	453653	92
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 MLX 8bit	0K / 37.8 GB	473537	1
Qwen3.6 35B A3B UD MLX 4bit	0K / 21.6 GB	15720	112
Nail Qwen3.6 35B A3B MLX 5bit	0K / 27.5 GB	83	1
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	3862	41
Qwen3.6 35B A3B 6bit	0K / 28.9 GB	2742	8

Note: green Score (e.g. "73.2") means that the model is better than Twu31/Qwen3.6-35B-A3B-GPTQ-INT4-W4A16-LowLatency.