b3569 #288
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b3569 #288
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* llama : better replace_all (cont) ggml-ci * code : deduplicate replace_all ggml-ci
Co-authored-by: Stanisław Szymczyk <[email protected]>
Signed-off-by: tarilabs <[email protected]>
* 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 <[email protected]>
* default n_swa for phi-3 * fix * double check swa
…ronization overhead. (#8943) * Optimize Vulkan backend for better CPU performance and less GPU synchronization overhead. - Allocation overhead for the temporary std::vectors was easily detectable with a sampling profiler and simple to remove. - ggml_vk_sync_buffer introduce a full pipeline sync which has a significant cost on the GPU side, sometimes larger than the actual kernel execution. Adding only barriers for shader read/writes and transfers seems to be sufficient looking at the code which either launches compute kernels or copies tensors. * Fix small typo --------- Co-authored-by: 0cc4m <[email protected]>
…8956) Co-authored-by: Stanisław Szymczyk <[email protected]>
Co-authored-by: Neo Zhang <>
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