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MODEL Listed

Qwen3.6-35B-A3B-NVFP4

The Qwen3.6 35B A3B NVFP4 is a specialized iteration of the Qwen series, optimized specifically for NVIDIA hardware using the NVFP4 quantization format. For developers, the primary draw here is the efficiency gain; by leveraging 4-bit floating point precision, this model significantly reduces VRAM overhead without the drastic perplexity loss typically seen in integer quantization. It is designed for high-throughput text generation and complex reasoning tasks where latency is critical. Integration is streamlined for NVIDIA TensorRT-LLM environments, making it an ideal candidate for production-grade RAG pipelines or agentic workflows where you need the intelligence of a mid-sized model but the speed of a much smaller one.

nvidiatext generation
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01 / MODEL CARD

Model card

The Qwen3.6 35B A3B NVFP4 is a specialized iteration of the Qwen series, optimized specifically for NVIDIA hardware using the NVFP4 quantization format. For developers, the primary draw here is the efficiency gain; by leveraging 4-bit floating point precision, this model significantly reduces VRAM overhead without the drastic perplexity loss typically seen in integer quantization. It is designed for high-throughput text generation and complex reasoning tasks where latency is critical. Integration is streamlined for NVIDIA TensorRT-LLM environments, making it an ideal candidate for production-grade RAG pipelines or agentic workflows where you need the intelligence of a mid-sized model but the speed of a much smaller one.

Model typetext generation
Providernvidia
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/nvidia/Qwen3.6-35B-A3B-NVFP4
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: nvidia/Qwen3.6-35B-A3B-NVFP4
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model nvidia/Qwen3.6-35B-A3B-NVFP4
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model nvidia/Qwen3.6-35B-A3B-NVFP4 README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('nvidia/Qwen3.6-35B-A3B-NVFP4')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/nvidia/Qwen3.6-35B-A3B-NVFP4.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/nvidia/Qwen3.6-35B-A3B-NVFP4.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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