ggml : new Q4 and Q5 quantization formats + backward ops #154
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sync llama.cpp - bump GGML_QNT_VERSION -> 1 - increase cwggml object overhead size from 256 to 512 in examples - drop Q4_2 support - tensor backend support CUDA
CCLDArjun
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Dec 18, 2023
…gerganov#154) (ggerganov#294) * Use F16 for memory_k and memory_v * add command line switch to use f16 instead of f32 for memory k+v --------- Co-authored-by: Ty Everett <ty@tyweb.us>
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ref #150
sync llama.cpp
GGML_QNT_VERSION-> 1Q4_2supportggml_tensor.backendmember (CPU / CUDA)ggml_diag_mask_inf()operator a483bb2ggml_rope()when not inplace 788381eggml_rope()GPT-NeoX (hopefully) 788381einplace!!! make sure to update your code if necessary, by explicitly using inplace calls, otherwise there will be unnecessary copies of some of the tensors:ggml_scale()->ggml_scale_inplace()ggml_diag_mask_inf()->ggml_diag_mask_info_inplace()ggml_soft_max()->ggml_soft_max_inplace()ggml_rope()->ggml_rope_inplace()