84bf3c6778
* add BailingMoeV2 support * update llm types * undo * undo * update llm types * add model collection link * update * almost working * correct group selection and rename n_group_exp * avoid large top_k and use argmax instead for now if we had something like argmax2 that would be equivalent, but this works fine until then * poke * skip group selection when there are no tokens * fix 1T conversion * hopefully fixed expert group selection third time's the charm? * make expert group selection generally available The new LLaDA2Moe model uses this method too, make it generally available regardless of architecture. * allow n_expert_groups to be 1 (Kimi K2) * address review suggestions |
||
|---|---|---|
| .. | ||
| scripts | ||
| __init__.py | ||
| constants.py | ||
| gguf.py | ||
| gguf_reader.py | ||
| gguf_writer.py | ||
| lazy.py | ||
| metadata.py | ||
| py.typed | ||
| quants.py | ||
| tensor_mapping.py | ||
| utility.py | ||
| vocab.py | ||