ae6fb93b6f
Two fixes based on review findings: 1. MLA fallback now uses key_length_mla from GGUF metadata instead of hardcoded rope_dim=64. Falls back to 64 only when key_length_mla is absent. This ensures correct estimates for MLA variants that use rope dimensions other than 64. 2. SWA global/local layer ratio changed from 50/50 to 1/4 (25% global, 75% SWA). Most sliding window architectures have predominantly local layers (Gemma-3 uses ~17% global, gpt-oss uses ~50%). The 1/4 heuristic is closer to the common case and still a large improvement over the legacy formula which ignores SWA entirely. |
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| .. | ||
| data_recipe | ||
| export | ||
| inference | ||
| training | ||
| __init__.py | ||