tqcq/llama.cpp
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Add support for encoder-only T5 models (#8900)

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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

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Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
This commit is contained in:
fairydreaming
2024-08-10 11:43:26 +02:00
committed by GitHub
parent 911b437f22
commit 7c3f55c100
6 changed files with 702 additions and 335 deletions
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include/llama.h
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@ -504,6 +504,9 @@ extern "C" {
// Returns true if the model contains an encoder that requires llama_encode() call
LLAMA_API bool llama_model_has_encoder(const struct llama_model * model);
// Returns true if the model contains a decoder that requires llama_decode() call
LLAMA_API bool llama_model_has_decoder(const struct llama_model * model);
// For encoder-decoder models, this function returns id of the token that must be provided
// to the decoder to start generating output sequence. For other models, it returns -1.
LLAMA_API llama_token llama_model_decoder_start_token(const struct llama_model * model);