: Tracking the project's development and finding patch notes is best done through dedicated hubs like the Mila AI Database Entry or aDDont's community channels.
| Benchmark | Expected Score (1.3B) | Mila AI -v1.3.7b- -aDDont- (speculative) | |-----------|----------------------|-------------------------------------------| | HellaSwag (0-shot) | ~45% | ~48% (if well-tuned) | | MMLU (5-shot) | ~25% | ~27% | | HumanEval (pass@1) | ~4% | ~5.5% | | French GLUE (FLeX) | N/A | Could excel (bilingual) |
The model handles structured data extraction from unformatted text documents. By leveraging the enhanced attention layers, it maps out relationships between disparate data points in legal briefs, academic papers, and financial earnings reports. Context-Aware Customer Operations
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To run Mila AI -v1.3.7b- -aDDont- smoothly, the following hardware profiles are recommended: RAM/VRAM : 8 GB VRAM / 16 GB System RAM Storage : 15 GB NVMe SSD Recommended (Unquantized FP16 execution):