* implement nfd for stripping accents in wpm tokenizer
* sort nfd map; reuse iterator
* use builtin tolower
* add locale include
* Simplify to_lower cases
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
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Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
* batched embedding: pool outputs by sequence id. updated embedding example
* bring back non-causal attention
* embd : minor improvements
* llama : minor
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* BERT model graph construction (build_bert)
* WordPiece tokenizer (llm_tokenize_wpm)
* Add flag for non-causal attention models
* Allow for models that only output embeddings
* Support conversion of BERT models to GGUF
* Based on prior work by @xyzhang626 and @skeskinen
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Co-authored-by: Jared Van Bortel <jared@nomic.ai>
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>