* 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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| .. | ||
| cmake | ||
| base64.hpp | ||
| build-info.cpp.in | ||
| CMakeLists.txt | ||
| common.cpp | ||
| common.h | ||
| console.cpp | ||
| console.h | ||
| grammar-parser.cpp | ||
| grammar-parser.h | ||
| json-schema-to-grammar.cpp | ||
| json-schema-to-grammar.h | ||
| json.hpp | ||
| log.h | ||
| ngram-cache.cpp | ||
| ngram-cache.h | ||
| sampling.cpp | ||
| sampling.h | ||
| stb_image.h | ||
| train.cpp | ||
| train.h | ||