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| Attribute |
OpenGVLab
|
|---|---|
| Company | OpenGVLab |
| Release Date | 2025-04-11 |
| Parameters (B) | 0.9 |
| Architecture | ViT-MLP-LLM |
| Context Window | 32768 |
| Input Modalities | text, image |
| Open Source | Yes |
| License | apache-2.0 |
| Score | 0 |
| VRAM (GB) | 4 |
| Compute | Single NVIDIA GPU with 4GB+ VRAM for bf16 inference (~1.8GB weights); 8GB+ recommended for multi-image or video inputs with dynamic resolution |
| Benchmark: BBH | 34.5 |
| Benchmark: C-Eval | 59 |
| Benchmark: GSM8K | 47.2 |
| Benchmark: HellaSwag | 47 |
| Benchmark: HumanEval | 39 |
| Benchmark: MATH | 32.7 |
| Benchmark: MBPP | 47.5 |
| Benchmark: MMLU | 49.8 |
| Benchmark: MMMU | 43.4 |
| Pricing (Input) | — |
| Pricing (Output) | — |