aditya/llama.cpp
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llama : prevent usage of k-quants when tensor size is not a multiple of 256 (#1921)

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* Fix examples/metal

* k-quants: prevent usage when tensor size is not divisible by 256

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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Kawrakow 2023-06-18 11:13:43 +03:00 committed by GitHub
parent 90cc59d6ab
commit 8ab8ba62eb
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llama.cpp
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@ -19,6 +19,11 @@
#ifdef GGML_USE_METAL
#include "ggml-metal.h"
#endif
#ifdef GGML_USE_K_QUANTS
#ifndef QK_K
#define QK_K 256
#endif
#endif
#include <array>
#include <ctime>
@ -2491,6 +2496,17 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
} else {
new_type = quantized_type;
#ifdef GGML_USE_K_QUANTS
if (quantized_type == GGML_TYPE_Q2_K || quantized_type == GGML_TYPE_Q3_K || quantized_type == GGML_TYPE_Q4_K ||
quantized_type == GGML_TYPE_Q5_K || quantized_type == GGML_TYPE_Q6_K) {
int nx = tensor.ne.at(0);
int ny = tensor.ne.at(0);
if (nx % QK_K != 0 || ny % QK_K != 0) {
fprintf(stderr, "\n\n========================= Tensor sizes %d x %d are not divisible by %d\n",nx,ny,QK_K);
fprintf(stderr, "This is required to be able to use k-quants for now!\n");
fprintf(stderr, "========================================================================================\n\n");
throw std::runtime_error("Unsupported tensor size encountered\n");
}
}
if (tensor.name == "output.weight") {
new_type = GGML_TYPE_Q6_K;
} else if (tensor.name.find("attention.wv.weight") != std::string::npos) {