* llama : support for MiniMax-Text-01 model
* chore : renames to match the other MiniMax models
* model : add logits mask as MiniMax-Text-01 embeddings tensor has zero-valued embeddings for tokens >= 200032 that produce zero logits disrupting the token sampling process
* llama : replace hardcoded conditions with hparams.is_recr()
* model : used build_rs() for recurrent state management
* chore : code cleanup
* model : optimized MiniMax-Text-01 by removing the state tranpose operations
* chore : removed unnecessary ggml_cont() in MiniMax-Text-01 implementation
* llama : add generic logits mask graph input
* model : permuted diag_decay dimensions to avoid doing it inside MiniMax-Text-01 graph
* chore : code cleanup
* chore : code cleanup
* model : use token positions when calculating MiniMax-Text-01 decay tensors
* convert : add support for MiniMaxM1ForCausalLM as it seems to be the same as MiniMaxText01ForCausalLM
* chat : add jinja template for MiniMax-M1
Co-authored-by: QscQ <qscqesze@gmail.com>
* chore : code cleanup
* tests : MINIMAX_01-related fixes
* chore : silence Python lint errors
* vocab : remove unnecessary vocab type
* convert : update MiniMaxText01Model conversion to use yield when modifying tensors
* convert : suppress tokens with zero-valued embeddings during MiniMax-Text-01 conversion
* llama : removed logits mask - no longer necessary as token suppression is used instead
* model : use common functions to make MiniMax-Text-01 implementation more concise
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
* model : use common functions to make MiniMax-Text-01 implementation more concise
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
* convert : override non-working built-in chat template during conversion
* tests : skip arch MINIMAX_01 tests for WebGPU backend (it breaks again)
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Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
Co-authored-by: QscQ <qscqesze@gmail.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
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