* Support for GLM-5 and Minimax-M2.5
Add CPU weight conversion support for GLM-5 and Minimax-M2.5
* fix: remove overly restrictive MiniMax condition and deduplicate code
- Remove `args.input_type == "fp8"` from MiniMaxConverter selection so
bf16/fp16 MiniMax models no longer fall through to OnlineQuantConverter
(which doesn't handle w1/w2/w3 naming and would fail).
- Remove OnlineQuantConverter._find_expert_layers() which is identical
to the inherited ConverterBase._find_expert_layers().
- Remove redundant expert_key_filter assignment (same as base default).
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Co-authored-by: ErvinXie <ervinxie@foxmail.com>
* [feat]: kt-kernel: Add resume arg to CPU weight conversion
* [docs]: kt-kernel: Document resume arg for CPU weight conversion
* [fix]: kt-kernel: Only print resume layer if in use
* [fix]: kt-kernel: Don't log skipped layers when using resume_layer
* [feat]: update kt-kernel hooks and add contribution guide
* [docs]: add contributing guide
* [style]: format the python file and cpp file in kt-kernel
