What are the hardware requirements for Qwen3.6 35B A3B NVFP4 Fast?

Qwen3.6 35B A3B NVFP4 Fast requires approximately 23.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 35B A3B NVFP4 Fast and how large is it?

Qwen3.6 35B A3B NVFP4 Fast is developed by unsloth, 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 NVFP4 Fast?

Qwen3.6 35B A3B NVFP4 Fast 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 NVFP4 Fast by unsloth — VRAM 23.6GB

Name: Qwen3.6 35B A3B NVFP4 Fast
Author: unsloth

Qwen3.6 35B A3B NVFP4 Fast is an open-source language model by unsloth. Features: 35b LLM, VRAM: 23.6GB, License: apache-2.0, LLM Explorer Score: 0.43.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3... Compressed-tensors Conversational Endpoints compatible Image-text-to-text Qwen Qwen3 5 Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3.6-35B-A3B-NVFP4-Fast

Qwen3.6 35B A3B NVFP4 Fast Parameters and Internals

LLM Name	Qwen3.6 35B A3B NVFP4 Fast
Repository 🤗	https://huggingface.co/unsloth/Qwen3.6-35B-A3B-NVFP4-Fast
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	23.6 GB
Updated	2026-08-09
Maintainer	unsloth
Model Type	qwen3_5_moe
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 5.0 GB: 3-of-5 5.0 GB: 4-of-5 3.6 GB: 5-of-5
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.13.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.6 35B A3B NVFP4 Fast 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 NVFP4 Fast

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Ornith 1.0 35B	0K / 70.4 GB	2640181	475
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
XYZ Aquila Mini	0K / 70.2 GB	1760	432
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen3.6 35B A3B Escha W2	0K / 12.3 GB	3622	236
BTL 4	0K / 69.9 GB	571	74

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3.6-35B-A3B-NVFP4-Fast.