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| Attribute | |
|---|---|
| Company | |
| Release Date | 2025-07-31 |
| Parameters (B) | 30.5 |
| Architecture | Mixture-of-Experts Transformer |
| Context Window | 262144 |
| Input Modalities | text |
| Open Source | Yes |
| License | apache-2.0 |
| Score | 8.4 |
| VRAM (GB) | 20.4 |
| Compute | Single GPU with ~20 GB VRAM for Q4_K_M GGUF (e.g. RTX 3090/4090); MoE architecture activates only 3.3B of 30.5B params per token for efficient inference; 24 GB+ recommended for comfortable KV-cache headroom at moderate context lengths |
| Benchmark: GSM8K | 90.7 |
| Benchmark: HumanEval | 92.7 |
| Benchmark: MMLU | 84.7 |
| Pricing (Input) | — |
| Pricing (Output) | — |