Addresses Gemini Code Assist review findings: 1. MLA path now uses n_kv_mla = n_kv_heads or 1 (not n_heads). This prevents a 128x overestimate for DeepSeek-V3 if head_count_kv is absent from the GGUF (n_heads=128 would have been used instead). 2. Hybrid path now uses ceiling division for attention layer count. This prevents undercounting by 1 when n_layers is not perfectly divisible by full_attention_interval. |
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| .. | ||
| data_recipe | ||
| export | ||
| inference | ||
| training | ||
| __init__.py | ||