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ggml : importance matrix support for legacy quants (llama/4969)
* imatrix: adding support for legacy quants * imatrix: guard Q4_0/Q5_0 against ffn_down craziness --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
This commit is contained in:
Kawrakow
Georgi Gerganov
parent
1b349eb1f9
commit
01637e1a4c
192
ggml-quants.c
192
ggml-quants.c
@ -515,6 +515,7 @@ void quantize_row_q4_0(const float * restrict x, void * restrict y, int k) {
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quantize_row_q4_0_reference(x, y, k);
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}
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void quantize_row_q4_1_reference(const float * restrict x, block_q4_1 * restrict y, int k) {
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const int qk = QK4_1;
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@ -3039,6 +3040,197 @@ size_t quantize_q6_K(const float * src, void * dst, int nrow, int n_per_row, int
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return nrow * row_size;
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}
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static void quantize_row_q4_0_impl(const float * restrict x, block_q4_0 * restrict y, int n_per_row, const float * quant_weights) {
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static_assert(QK4_0 == 32, "QK4_0 must be 32");
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if (!quant_weights) {
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quantize_row_q4_0_reference(x, y, n_per_row);
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return;
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}
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float weight[QK4_0];
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int8_t L[QK4_0];
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float sum_x2 = 0;
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for (int j = 0; j < n_per_row; ++j) sum_x2 += x[j]*x[j];
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float sigma2 = sum_x2/n_per_row;
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const int nb = n_per_row/QK4_0;
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for (int ib = 0; ib < nb; ++ib) {
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const float * xb = x + QK4_0 * ib;
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const float * qw = quant_weights + QK4_0 * ib;
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for (int j = 0; j < QK4_0; ++j) weight[j] = qw[j] * sqrtf(sigma2 + xb[j]*xb[j]);
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float d = make_qx_quants(QK4_0, 8, xb, L, 1, weight);
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y[ib].d = GGML_FP32_TO_FP16(d);
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for (int j = 0; j < 16; ++j) {
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y[ib].qs[j] = L[j] | (L[j+16] << 4);
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}
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}
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}
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size_t quantize_q4_0(const float * src, void * dst, int nrow, int n_per_row, int64_t * hist, const float * quant_weights) {
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if (!quant_weights) {
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return ggml_quantize_q4_0(src, dst, nrow*n_per_row, n_per_row, hist);
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}
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int row_size = ggml_row_size(GGML_TYPE_Q4_0, n_per_row);
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char * qrow = (char *)dst;
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for (int row = 0; row < nrow; ++row) {
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quantize_row_q4_0_impl(src, (block_q4_0*)qrow, n_per_row, quant_weights);
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src += n_per_row;
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qrow += row_size;
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}
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return nrow * row_size;
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}
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static void quantize_row_q4_1_impl(const float * restrict x, block_q4_1 * restrict y, int n_per_row, const float * quant_weights) {
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static_assert(QK4_1 == 32, "QK4_1 must be 32");
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if (!quant_weights) {
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quantize_row_q4_1_reference(x, y, n_per_row);
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return;
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}
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float weight[QK4_1];
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uint8_t L[QK4_1], Laux[QK4_1];
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float sum_x2 = 0;
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for (int j = 0; j < n_per_row; ++j) sum_x2 += x[j]*x[j];
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float sigma2 = sum_x2/n_per_row;
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const int nb = n_per_row/QK4_1;
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for (int ib = 0; ib < nb; ++ib) {
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const float * xb = x + QK4_1 * ib;
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const float * qw = quant_weights + QK4_1 * ib;
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for (int j = 0; j < QK4_1; ++j) weight[j] = qw[j] * sqrtf(sigma2 + xb[j]*xb[j]);
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float min;
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float d = make_qkx3_quants(QK4_1, 15, xb, weight, L, &min, Laux, -0.9f, 0.05f, 36, false);
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y[ib].d = GGML_FP32_TO_FP16(d);
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y[ib].m = GGML_FP32_TO_FP16(-min);
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for (int j = 0; j < 16; ++j) {
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y[ib].qs[j] = L[j] | (L[j+16] << 4);
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}
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}
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}
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size_t quantize_q4_1(const float * src, void * dst, int nrow, int n_per_row, int64_t * hist, const float * quant_weights) {
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if (!quant_weights) {
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return ggml_quantize_q4_1(src, dst, nrow*n_per_row, n_per_row, hist);
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}
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int row_size = ggml_row_size(GGML_TYPE_Q4_1, n_per_row);
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char * qrow = (char *)dst;
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for (int row = 0; row < nrow; ++row) {
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quantize_row_q4_1_impl(src, (block_q4_1*)qrow, n_per_row, quant_weights);
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src += n_per_row;
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qrow += row_size;
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}
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return nrow * row_size;
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}
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static void quantize_row_q5_0_impl(const float * restrict x, block_q5_0 * restrict y, int n_per_row, const float * quant_weights) {
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static_assert(QK5_0 == 32, "QK5_0 must be 32");
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if (!quant_weights) {
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quantize_row_q5_0_reference(x, y, n_per_row);
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return;
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}
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float weight[QK5_0];
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int8_t L[QK5_0];
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float sum_x2 = 0;
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for (int j = 0; j < n_per_row; ++j) sum_x2 += x[j]*x[j];
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float sigma2 = sum_x2/n_per_row;
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const int nb = n_per_row/QK5_0;
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for (int ib = 0; ib < nb; ++ib) {
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const float * xb = x + QK5_0 * ib;
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const float * qw = quant_weights + QK5_0 * ib;
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for (int j = 0; j < QK5_0; ++j) weight[j] = qw[j] * sqrtf(sigma2 + xb[j]*xb[j]);
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float d = make_qx_quants(QK5_0, 16, xb, L, 1, weight);
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y[ib].d = GGML_FP32_TO_FP16(d);
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uint32_t qh = 0;
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for (int j = 0; j < 16; ++j) {
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const uint8_t xi0 = L[j];
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const uint8_t xi1 = L[j+16];
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y[ib].qs[j] = (xi0 & 0x0F) | ((xi1 & 0x0F) << 4);
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// get the 5-th bit and store it in qh at the right position
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qh |= ((xi0 & 0x10u) >> 4) << (j + 0);
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qh |= ((xi1 & 0x10u) >> 4) << (j + QK5_0/2);
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}
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memcpy(&y[ib].qh, &qh, sizeof(qh));
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}
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}
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size_t quantize_q5_0(const float * src, void * dst, int nrow, int n_per_row, int64_t * hist, const float * quant_weights) {
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if (!quant_weights) {
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return ggml_quantize_q5_0(src, dst, nrow*n_per_row, n_per_row, hist);
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}
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int row_size = ggml_row_size(GGML_TYPE_Q5_0, n_per_row);
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char * qrow = (char *)dst;
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for (int row = 0; row < nrow; ++row) {
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quantize_row_q5_0_impl(src, (block_q5_0*)qrow, n_per_row, quant_weights);
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src += n_per_row;
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qrow += row_size;
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}
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return nrow * row_size;
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}
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static void quantize_row_q5_1_impl(const float * restrict x, block_q5_1 * restrict y, int n_per_row, const float * quant_weights) {
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static_assert(QK5_1 == 32, "QK5_1 must be 32");
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if (!quant_weights) {
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quantize_row_q5_1_reference(x, y, n_per_row);
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return;
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}
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float weight[QK5_1];
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uint8_t L[QK5_1], Laux[QK5_1];
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float sum_x2 = 0;
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for (int j = 0; j < n_per_row; ++j) sum_x2 += x[j]*x[j];
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float sigma2 = sum_x2/n_per_row;
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const int nb = n_per_row/QK5_1;
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for (int ib = 0; ib < nb; ++ib) {
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const float * xb = x + QK5_1 * ib;
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const float * qw = quant_weights + QK5_1 * ib;
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for (int j = 0; j < QK5_1; ++j) weight[j] = qw[j] * sqrtf(sigma2 + xb[j]*xb[j]);
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float min;
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float d = make_qkx3_quants(QK5_1, 31, xb, weight, L, &min, Laux, -0.9f, 0.05f, 36, false);
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y[ib].d = GGML_FP32_TO_FP16(d);
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y[ib].m = GGML_FP32_TO_FP16(-min);
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uint32_t qh = 0;
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for (int j = 0; j < 16; ++j) {
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const uint8_t xi0 = L[j];
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const uint8_t xi1 = L[j+16];
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y[ib].qs[j] = (xi0 & 0x0F) | ((xi1 & 0x0F) << 4);
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// get the 5-th bit and store it in qh at the right position
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qh |= ((xi0 & 0x10u) >> 4) << (j + 0);
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qh |= ((xi1 & 0x10u) >> 4) << (j + QK5_0/2);
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}
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memcpy(&y[ib].qh, &qh, sizeof(qh));
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}
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}
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size_t quantize_q5_1(const float * src, void * dst, int nrow, int n_per_row, int64_t * hist, const float * quant_weights) {
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if (!quant_weights) {
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return ggml_quantize_q5_1(src, dst, nrow*n_per_row, n_per_row, hist);
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}
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int row_size = ggml_row_size(GGML_TYPE_Q5_1, n_per_row);
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char * qrow = (char *)dst;
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for (int row = 0; row < nrow; ++row) {
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quantize_row_q5_1_impl(src, (block_q5_1*)qrow, n_per_row, quant_weights);
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src += n_per_row;
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qrow += row_size;
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}
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return nrow * row_size;
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}
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// ====================== "True" 2-bit (de)-quantization
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static const uint64_t iq2xxs_grid[256] = {
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@ -253,3 +253,7 @@ size_t quantize_q3_K (const float * src, void * dst, int nrows, int n_per_row,
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size_t quantize_q4_K (const float * src, void * dst, int nrows, int n_per_row, int64_t * hist, const float * imatrix);
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size_t quantize_q5_K (const float * src, void * dst, int nrows, int n_per_row, int64_t * hist, const float * imatrix);
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size_t quantize_q6_K (const float * src, void * dst, int nrows, int n_per_row, int64_t * hist, const float * imatrix);
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size_t quantize_q4_0 (const float * src, void * dst, int nrows, int n_per_row, int64_t * hist, const float * imatrix);
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size_t quantize_q4_1 (const float * src, void * dst, int nrows, int n_per_row, int64_t * hist, const float * imatrix);
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size_t quantize_q5_0 (const float * src, void * dst, int nrows, int n_per_row, int64_t * hist, const float * imatrix);
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size_t quantize_q5_1 (const float * src, void * dst, int nrows, int n_per_row, int64_t * hist, const float * imatrix);
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28
ggml.c
28
ggml.c
@ -18674,26 +18674,38 @@ size_t ggml_quantize_chunk(enum ggml_type type, const float * src, void * dst, i
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case GGML_TYPE_Q4_0:
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{
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GGML_ASSERT(start % QK4_0 == 0);
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block_q4_0 * block = (block_q4_0*)dst + start / QK4_0;
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result = ggml_quantize_q4_0(src + start, block, n, n, hist);
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GGML_ASSERT(start % n_per_row == 0);
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size_t start_row = start / n_per_row;
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size_t row_size = ggml_row_size(type, n_per_row);
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result = quantize_q4_0(src + start, (char *)dst + start_row * row_size, nrows, n_per_row, hist, imatrix);
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GGML_ASSERT(result == row_size * nrows);
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} break;
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case GGML_TYPE_Q4_1:
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{
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GGML_ASSERT(start % QK4_1 == 0);
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block_q4_1 * block = (block_q4_1*)dst + start / QK4_1;
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result = ggml_quantize_q4_1(src + start, block, n, n, hist);
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GGML_ASSERT(start % n_per_row == 0);
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size_t start_row = start / n_per_row;
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size_t row_size = ggml_row_size(type, n_per_row);
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result = quantize_q4_1(src + start, (char *)dst + start_row * row_size, nrows, n_per_row, hist, imatrix);
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GGML_ASSERT(result == row_size * nrows);
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} break;
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case GGML_TYPE_Q5_0:
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{
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GGML_ASSERT(start % QK5_0 == 0);
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block_q5_0 * block = (block_q5_0*)dst + start / QK5_0;
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result = ggml_quantize_q5_0(src + start, block, n, n, hist);
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GGML_ASSERT(start % n_per_row == 0);
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size_t start_row = start / n_per_row;
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size_t row_size = ggml_row_size(type, n_per_row);
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result = quantize_q5_0(src + start, (char *)dst + start_row * row_size, nrows, n_per_row, hist, imatrix);
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GGML_ASSERT(result == row_size * nrows);
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} break;
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case GGML_TYPE_Q5_1:
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{
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GGML_ASSERT(start % QK5_1 == 0);
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block_q5_1 * block = (block_q5_1*)dst + start / QK5_1;
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result = ggml_quantize_q5_1(src + start, block, n, n, hist);
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GGML_ASSERT(start % n_per_row == 0);
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size_t start_row = start / n_per_row;
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size_t row_size = ggml_row_size(type, n_per_row);
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result = quantize_q5_1(src + start, (char *)dst + start_row * row_size, nrows, n_per_row, hist, imatrix);
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GGML_ASSERT(result == row_size * nrows);
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} break;
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case GGML_TYPE_Q8_0:
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{
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