SenseNova-SI-1.1-Qwen3-VL-8B-GGUF
SenseNova-SI-1.1-Qwen3-VL-8B from sensenova is an 8B-parameter multimodal vision-language model fine-tuned from Qwen/Qwen3-VL-8B-Instruct as part of the SenseNova-SI family, specifically scaled on 8M diverse spatial intelligence samples (SenseNova-SI-8M) to address deficiencies in spatial reasoning, achieving state-of-the-art open-source performance on benchmarks like 64.8% VSI, 38.1% MMSI, 73.8% MindCube-Tiny, 51.2% ViewSpatial, and 49.6% SITE—surpassing peers like InternVL3-8B, VST-7B-SFT, and approaching proprietary models such as Gemini-2.5-Pro. It excels in robust spatial capabilities across VSI-Bench, MMSI, MindCube, ViewSpatial, SITE, BLINK, 3DSRBench, and EmbSpatial-Bench while retaining strong general multimodal understanding (84.9% MMBench-En), demonstrating emergent generalization from data scaling, reduced overfitting risks, and preliminary spatial chain-of-thought reasoning for downstream applications. Released publicly to advance spatial intelligence research (with future integration into larger in-house models), it supports evaluation via EASI framework and evaluation on eight recent benchmarks, positioning it as a high-performing, compatible foundation for further spatial AI development.
SenseNova-SI-1.1-Qwen3-VL-8B [GGUF]
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| SenseNova-SI-1.1-Qwen3-VL-8B.IQ4_XS.gguf | IQ4_XS | 4.59 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q2_K.gguf | Q2_K | 3.28 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q3_K_L.gguf | Q3_K_L | 4.43 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q3_K_M.gguf | Q3_K_M | 4.12 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q3_K_S.gguf | Q3_K_S | 3.77 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q4_K_M.gguf | Q4_K_M | 5.03 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q4_K_S.gguf | Q4_K_S | 4.8 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q5_K_M.gguf | Q5_K_M | 5.85 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q5_K_S.gguf | Q5_K_S | 5.72 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q6_K.gguf | Q6_K | 6.73 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.Q8_0.gguf | Q8_0 | 8.71 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.f16.gguf | F16 | 16.4 GB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.mmproj-Q8_0.gguf | mmproj-Q8_0 | 752 MB | Download |
| SenseNova-SI-1.1-Qwen3-VL-8B.mmproj-f16.gguf | mmproj-f16 | 1.16 GB | Download |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
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Model tree for prithivMLmods/SenseNova-SI-1.1-Qwen3-VL-8B-GGUF
Base model
Qwen/Qwen3-VL-8B-Instruct