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| Attribute |
farbodtavakkoli
|
|---|---|
| Company | farbodtavakkoli |
| Release Date | 2026-07-24 |
| Parameters (B) | 31 |
| Architecture | Transformer (Gemma 4 hybrid sliding-window and global attention) |
| Context Window | 256000 |
| Input Modalities | text |
| Open Source | Yes |
| License | |
| Score | 8.4 |
| VRAM (GB) | 70 |
| Compute | FP16 inference needs ~70 GB VRAM (e.g. A100 80GB); INT4 quantization runs on ~17–24 GB (RTX 4090). Training used on-prem AMD MI355X GPUs with Dell infrastructure; data processing used ~530 AMD MI300X GPUs on Microsoft Azure. |
| Benchmark: GSM8K | 82 |
| Benchmark: HumanEval | 80 |
| Benchmark: MMLU | 85.2 |
| Pricing (Input) | — |
| Pricing (Output) | — |