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* gguf-py : add T5ENCODER model architecture * common : call llama_decode() during warmup only if the model has decoder * convert-hf : add T5EncoderModel * llama : add llama_model_has_decoder() API function * llama : split build_t5() into build_t5_encoder() and build_t5_decoder() * llama : add support for LLM_ARCH_T5ENCODER * llama-embedding : add support for LLAMA_POOLING_TYPE_NONE * llama-embedding : add support for encoder-only models --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> |
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.. | ||
__init__.py | ||
constants.py | ||
gguf_reader.py | ||
gguf_writer.py | ||
gguf.py | ||
lazy.py | ||
metadata.py | ||
py.typed | ||
quants.py | ||
tensor_mapping.py | ||
utility.py | ||
vocab.py |