nvidia / text-generation updated 1 month ago

Qwen3.5-397B-A17B-NVFP4

Name: Qwen3.5-397B-A17B-NVFP4
Author: nvidia

The NVIDIA Qwen3.5-397B-A17B NVFP4 model is the quantized version of Alibaba's Qwen3.5-397B-A17B model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Qwen3.5-397B-A17B NVFP4 model is quantized with Model Optimizer.

Params

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Context

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Downloads 30d

359 K

Likes

105

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

367 K356 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	fp16	251.2 GB	276.8 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-5-397b-a17b-nvfp4
{
  "hf_id": "nvidia/Qwen3.5-397B-A17B-NVFP4",
  "params_b": null,
  "context_length": null,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 358618,
  "vram_estimates": [
    { "quant": "fp16", "gb": 276.8 }
  ],
  "updated_at": "2026-07-28T18:06:06Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Qwen3_5MoeForConditionalGeneration
Licence: apache-2.0
First seen on the Hub: 2026-02-16
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Appears in

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