SenseNova Loop 9B Preview
SenseNova Loop 9B Preview is an open-weights language model from SenseNova, released October 28, 2026. It has 9.7B parameters (dense). The context window is 256K tokens.
Check it against your own PC →
Can you run SenseNova Loop 9B Preview locally?
The smallest common GPU it runs on is 6 GB of VRAM (with 32 GB of RAM): Q6_K, split GPU / CPU, roughly 6 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Runs, slowly | Q6_K (≈ lossless) | 5.2 GB | 3.9 GB | ~6 |
| 8 GB VRAM | Runs on GPU | Q4_K_M (very good) | 7.0 GB | – | ~27 |
| 12 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 9.1 GB | – | ~27 |
| 16 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 9.1 GB | – | ~36 |
| 24 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 9.1 GB | – | ~66 |
| 32 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 9.1 GB | – | ~120 |
Ready-made quantizations on Hugging Face: AtomicChat/SenseNova-Loop-9B-Preview-GGUF · guideboardlabs/SenseNova-Loop-9B-Preview-GGUF · annelo/SenseNova-Loop-9B-Preview-Q4_K_M-Vision-GGUF · notfakerv/SenseNova-Loop-9B-Preview-GGUF · lavendercomputing/SenseNova-Loop-9B-Preview-GSQ-RCO-GGUF · wepiqx/SenseNova-Loop-9B-Preview-MERNIK-GGUF
Benchmark results
Epoch AI has not published results for SenseNova Loop 9B Preview yet. New models are usually evaluated within days to weeks.
Links
Hugging Face: sensenova/SenseNova-Loop-9B-Preview