Qwen3.6-35B-A3B-NVFP4
1.56x faster throughput than other NVFP4 quants. This is an Unsloth NVFP4 quantized checkpoint calibrated on a mixture of our Unsloth dataset + UltraChat dataset. Works on a 32GB VRAM GPU. Benchmarks on 1xB200 128 concurrency. Use the 35B NVFP4 Fast version for 1.79x faster at a little less accuracy
Params
24.6 B
Context
—
Downloads 30d
1.3 M
Likes
118
Download history
daily snapshots · 56 days
▲ 1.2 M in the last 30 days (47.6%)
2.6 M1.3 M
Aug 23Sep 2Sep 12Sep 21
2.6 M923 K
Jul 28Aug 15Sep 3Sep 21
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 | u8 | 26.5 GB | 33.3 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Qwen3_5MoeForConditionalGeneration
- Parameters
- 24.6 B
- Tensor type
- U8
- Licence
- apache-2.0
- First seen on the Hub
- 2026-04-23
- Base model
- Qwen3.6-35B-A3B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any image-text-to-text model