Model Details
Full Model IDnvidia/Qwen3.6-35B-A3B-NVFP4
Pipeline / Tasktext-generation
LibraryModel Optimizer
Downloads (all-time)4.2M
Likes671
Last Modified8/29/2026
Author / Orgnvidia
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-generation", model="nvidia/Qwen3.6-35B-A3B-NVFP4")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
Model Optimizersafetensorsqwen3_5_moenvidiaModelOptQwen3.6quantizedFP4fp4text-generationconversationalbase_model:Qwen/Qwen3.6-35B-A3Bbase_model:quantized:Qwen/Qwen3.6-35B-A3Blicense:apache-2.08-bitmodeloptdeploy:azuredeploy:sagemakerregion:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models✍️ Task: Text Generation
This model is designed for the Text Generation task. Explore more models for this use case.
All Text Generation Models →📊 Popularity
⬇ Downloads4.2M
❤️ Community Likes671
🛠️ Requirements
- →Install: pip install Model Optimizer
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.