What about HuggingFace? It has basically everything. Kimi-k2-thinking is available along with a config and modeling class which seems to support and implement the model. The HuggingFace model info doesn’t say whether training is supported, but HuggingFace’s Transformers library supports models in the same architecture family, such as DeepSeek-V3. The fundamentals seem to be there; we might need some small changes, but how hard can it be?
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My take on most things is “you do you”, and this one is very much a matter of taste. I see a fair amount of code online that seems to prefer manual conversions with js_sys. This is a reasonable strategy, but I have found it to be time consuming and brittle. If you change your Rust types, the compiler isn’t going to help you when you’re manually calling dyn_into to do runtime checks. Bindgen is going to insert the same runtime checks either way, but if you lean into its glue (including with some of the patterns presented here), you can get much better compile-time feedback.
C15) STATE=C115; ast_C48; continue;;