What are the hardware requirements for Qwen3.5 9B NVFP4?

Qwen3.5 9B NVFP4 requires approximately 11.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 9B NVFP4 and how large is it?

Qwen3.5 9B NVFP4 is developed by ig1, a model with 9b 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 9B NVFP4?

Qwen3.5 9B NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 9B NVFP4 by ig1 — VRAM 11.2GB

Name: Qwen3.5 9B NVFP4
Author: ig1

Qwen3.5 9B NVFP4 is an open-source language model by ig1. Features: 9b LLM, VRAM: 11.2GB, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-9b Compressed-tensors Conversational Dataset:coherelabs/aya dataset Dataset:huggingfaceh4/ultracha... Dataset:openai/gsm8k Dataset:sahil2801/codealpaca-2... Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ig1/Qwen3.5-9B-NVFP4

Qwen3.5 9B NVFP4 Parameters and Internals

LLM Name	Qwen3.5 9B NVFP4
Repository 🤗	https://huggingface.co/ig1/Qwen3.5-9B-NVFP4
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	11.2 GB
Updated	2026-08-14
Maintainer	ig1
Model Type	qwen3_5
Model Files	11.2 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 9B NVFP4 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 9B NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	3813	4
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
LensVLM 9B	0K / 18.8 GB	1840	258
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Ornith 1.0 9B	0K / 18.8 GB	963330	549
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
WeMM Embedding 9B	0K / 18.8 GB	2618	105

Note: green Score (e.g. "73.2") means that the model is better than ig1/Qwen3.5-9B-NVFP4.