* gguf-py : add T5 model architecture * gguf-py : add separate tensors for encoder and decoder * gguf-py : add new model header parameters: decoder_start_token_id, attention.relative_buckets_count, tokenizer.ggml.remove_extra_whitespaces, tokenizer.ggml.precompiled_charsmap * convert-hf : add model conversion support for T5ForConditionalGeneration and T5WithLMHeadModel --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> |
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| .. | ||
| __init__.py | ||
| constants.py | ||
| gguf.py | ||
| gguf_reader.py | ||
| gguf_writer.py | ||
| lazy.py | ||
| py.typed | ||
| quants.py | ||
| tensor_mapping.py | ||
| vocab.py | ||