Fix #3404 #3437
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Fix #3404 #3437
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the shapes for init model of gqa models was wrong
ggerganov
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Oct 2, 2023
joelkuiper
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Oct 5, 2023
…example * 'master' of github.com:ggerganov/llama.cpp: (24 commits) convert : fix Baichuan2 models by using vocab size in config.json (ggerganov#3299) readme : add project status link ggml : fix build after ggerganov#3329 llm : add Refact model (ggerganov#3329) sync : ggml (conv 1d + 2d updates, UB fixes) (ggerganov#3468) finetune : readme fix typo (ggerganov#3465) ggml : add RISC-V Vector Support for K-Quants and improved the existing intrinsics (ggerganov#3453) main : consistent prefix/suffix coloring (ggerganov#3425) llama : fix session saving/loading (ggerganov#3400) llama : expose model's rope_freq_scale in the API (ggerganov#3418) metal : alibi for arbitrary number of heads (ggerganov#3426) cmake : make LLAMA_NATIVE flag actually use the instructions supported by the processor (ggerganov#3273) Work on the BPE tokenizer (ggerganov#3252) convert : fix vocab size when not defined in hparams (ggerganov#3421) cmake : increase minimum version for add_link_options (ggerganov#3444) CLBlast: Add broadcast support for matrix multiplication (ggerganov#3402) gguf : add BERT, MPT, and GPT-J arch info (ggerganov#3408) gguf : general usability improvements (ggerganov#3409) cmake : make CUDA flags more similar to the Makefile (ggerganov#3420) finetune : fix ggerganov#3404 (ggerganov#3437) ...
yusiwen
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Oct 7, 2023
the shapes for init model of gqa models was wrong
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This PR fixes #3404. The shapes for init model of grouped-query-attention models was wrong.
It was probably a code regression that happened during refactoring.