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| Attribute | |
|---|---|
| Company | |
| Release Date | 2026-04-02 |
| Parameters (B) | 30.7 |
| Architecture | Dense Multimodal Transformer |
| Context Window | 256000 |
| Input Modalities | text, image |
| Open Source | Yes |
| License | apache-2.0 |
| Score | 8.5 |
| VRAM (GB) | 70 |
| Compute | Full BF16 weights require ~70GB VRAM (single 80GB NVIDIA H100). Q4_0 quantization reduces requirement to ~17.5GB (24GB consumer GPU); Q8/SFP8 needs ~35GB. Supports Ollama, vLLM, and Transformers on Linux/macOS. |
| Benchmark: GSM8K | 85 |
| Benchmark: HumanEval | 85 |
| Benchmark: MMLU | 85.2 |
| Pricing (Input) | — |
| Pricing (Output) | — |