Qwen3.6-35B-A3B-NVFP4 vs Apertus-70B-Instruct-2509-quantized.w4a16
Specs, VRAM requirements and download trends — updated 6 August 2026.
RedHatAI · B
Params
11.3 B
Context
65,536
30d
338 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3.6-35B-A3B-NVFP4 | Apertus-70B-Instruct-2509-quantized.w4a16 |
|---|---|---|
| Parameters | 18.7 B | 11.3 B |
| Architecture | Qwen3_5MoeForConditionalGeneration | ApertusForCausalLM |
| Context length | — | 65,536 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 11,298,952 | 337,908 |
| Downloads all time | 19.7 M | 516 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-05-27 | 2025-09-21 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
11.3 M226 K
Qwen3.6-35B-A3B-NVFP4
Apertus-70B-Instruct-2509-quantized.w4a16
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3.6-35B-A3B-NVFP4 · fp16
29.1 GB / 24 GB
Apertus-70B-Instruct-2509-quantized.w4a16 · fp16
46.0 GB / 24 GB