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https://github.com/antirez/gguf-tools.git
synced 2025-12-16 00:18:52 +08:00
F16 output for dequantization.
This commit is contained in:
112
gguflib.c
112
gguflib.c
@@ -504,9 +504,22 @@ int gguf_append_tensor_data(gguf_ctx *ctx, void *tensor, uint64_t tensor_size) {
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/* ============================ GGUF dequantization ========================= */
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/* This callback is used by dequantization functions to store dequantized
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* weights in a different format than f32. By default all the dequantization
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* functions will store f32 floats just just f[j] = weight, but if
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* a store callback is passed, the function will be used. */
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typedef void (*store_float_callback)(void *dst, uint64_t idx, float f);
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/* Callback used to store F16 when dequantizing. */
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void gguf_store_f16_callback(void *dst, uint64_t idx, float f) {
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uint16_t *f16 = dst;
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f16[idx] = to_half(f);
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}
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/* Q8_0 blocks dequantization to floats.
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* 'y' is supposed to have enough space for 'count' weights. */
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void gguf_q8_0_to_float(void *weights_data, float *y, uint64_t count) {
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* 'dst' is supposed to have enough space for 'count' weights. */
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void gguf_q8_0_to_float(void *weights_data, void *dst, uint64_t count, store_float_callback store_callback) {
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float *f = dst;
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struct gguf_tensor_type_features *tf =
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gguf_get_tensor_type_features(GGUF_TYPE_Q8_0);
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@@ -519,8 +532,12 @@ void gguf_q8_0_to_float(void *weights_data, float *y, uint64_t count) {
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* weights in the block. */
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float scale = from_half(*((uint16_t*)block));
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for (uint32_t j = 0; j < tf->items_per_block; j++) {
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y[i++] = block[j+2] * scale; // j+2 to skip the scale bytes.
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if (i == count) break;
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float weight = block[j+2] * scale; // j+2 to skip the scale bytes.
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if (store_callback)
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store_callback(dst,i,weight);
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else
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f[i] = weight;
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if (++i == count) break;
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}
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block += tf->bytes_per_block; // Go to the next block.
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}
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@@ -528,7 +545,8 @@ void gguf_q8_0_to_float(void *weights_data, float *y, uint64_t count) {
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/* Q4_K blocks dequantization to floats.
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* 'y' is supposed to have enough space for 'count' weights. */
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void gguf_q4_k_to_float(void *weights_data, float *y, uint64_t count) {
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void gguf_q4_k_to_float(void *weights_data, void *dst, uint64_t count, store_float_callback store_callback) {
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float *f = dst;
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uint8_t *block = weights_data;
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uint64_t i = 0; // i-th weight to dequantize.
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while(i < count) {
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@@ -593,14 +611,22 @@ void gguf_q4_k_to_float(void *weights_data, float *y, uint64_t count) {
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/* First set: higher bits. */
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for (uint32_t j = 0; j < 32; j++) {
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uint8_t w = block[j] & 0xf;
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y[i++] = w * scale - min;
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if (i == count) return;
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float weight = w * scale - min;
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if (store_callback)
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store_callback(dst,i,weight);
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else
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f[i] = weight;
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if (++i == count) return;
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}
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/* Second set: lower bits. */
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for (uint32_t j = 0; j < 32; j++) {
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uint8_t w = block[j] >> 4;
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y[i++] = w * scale - min;
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if (i == count) return;
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float weight = w * scale - min;
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if (store_callback)
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store_callback(dst,i,weight);
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else
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f[i] = weight;
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if (++i == count) return;
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}
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block += 32; // Skip the two processed blocks.
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}
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@@ -609,7 +635,8 @@ void gguf_q4_k_to_float(void *weights_data, float *y, uint64_t count) {
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/* Q6_K blocks dequantization to floats.
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* 'y' is supposed to have enough space for 'count' weights. */
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void gguf_q6_k_to_float(void *weights_data, float *y, uint64_t count) {
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void gguf_q6_k_to_float(void *weights_data, void *dst, uint64_t count, store_float_callback store_callback) {
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float *f = dst;
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uint8_t *block = weights_data;
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uint64_t i = 0; // i-th weight to dequantize.
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while(i < count) {
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@@ -667,12 +694,16 @@ void gguf_q6_k_to_float(void *weights_data, float *y, uint64_t count) {
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int8_t *scales = (int8_t*)block+128+64;
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for (int cluster = 0; cluster < 2; cluster++) {
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for (uint64_t j = 0; j < 128; j++) {
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y[i] = (super_scale * scales[j/16]) *
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float weight =
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(super_scale * scales[j/16]) *
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((int8_t)
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((((L[j%64] >> (j/64*4)) & 0xF) |
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(((H[j%32] >> (j/32*2)) & 3) << 4)))-32);
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i++;
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if (i == count) return;
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if (store_callback)
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store_callback(dst,i,weight);
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else
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f[i] = weight;
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if (++i == count) return;
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}
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L += 64;
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H += 32;
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@@ -684,7 +715,8 @@ void gguf_q6_k_to_float(void *weights_data, float *y, uint64_t count) {
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/* Q2_K blocks dequantization to floats.
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* 'y' is supposed to have enough space for 'count' weights. */
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void gguf_q2_k_to_float(void *weights_data, float *y, uint64_t count) {
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void gguf_q2_k_to_float(void *weights_data, void *dst, uint64_t count, store_float_callback store_callback) {
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float *f = dst;
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uint8_t *block = weights_data;
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uint64_t i = 0; // i-th weight to dequantize.
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while(i < count) {
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@@ -734,8 +766,12 @@ void gguf_q2_k_to_float(void *weights_data, float *y, uint64_t count) {
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bn++;
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}
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uint8_t q = (block[16+j%32+cluster*32] >> (j/32*2)) & 3;
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y[i++] = q * scale - min;
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if (i == count) return;
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float weight = q * scale - min;
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if (store_callback)
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store_callback(dst,i,weight);
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else
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f[i] = weight;
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if (++i == count) return;
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}
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}
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block += 16+64+4;
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@@ -744,11 +780,16 @@ void gguf_q2_k_to_float(void *weights_data, float *y, uint64_t count) {
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/* FP16 blocks dequantization to floats.
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* 'y' is supposed to have enough space for 'count' weights. */
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void gguf_f16_to_float(void *weights_data, float *y, uint64_t count) {
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void gguf_f16_to_float(void *weights_data, float *dst, uint64_t count, store_float_callback store_callback) {
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float *f = dst;
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uint64_t i = 0; // i-th weight to dequantize.
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uint16_t *w16 = weights_data;
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while(i < count) {
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y[i] = from_half(w16[i]);
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float weight = from_half(w16[i]);
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if (store_callback)
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store_callback(dst,i,weight);
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else
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f[i] = weight;
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i++;
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}
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}
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@@ -764,18 +805,43 @@ float *gguf_tensor_to_float(gguf_tensor *tensor) {
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if (tensor->type == GGUF_TYPE_F32) {
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memcpy(f, tensor->weights_data, tensor->num_weights*sizeof(float));
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} else if (tensor->type == GGUF_TYPE_F16) {
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gguf_f16_to_float(tensor->weights_data, f, tensor->num_weights);
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gguf_f16_to_float(tensor->weights_data, f, tensor->num_weights, NULL);
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} else if (tensor->type == GGUF_TYPE_Q8_0) {
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gguf_q8_0_to_float(tensor->weights_data, f, tensor->num_weights);
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gguf_q8_0_to_float(tensor->weights_data, f, tensor->num_weights, NULL);
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} else if (tensor->type == GGUF_TYPE_Q4_K) {
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gguf_q4_k_to_float(tensor->weights_data, f, tensor->num_weights);
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gguf_q4_k_to_float(tensor->weights_data, f, tensor->num_weights, NULL);
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} else if (tensor->type == GGUF_TYPE_Q6_K) {
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gguf_q6_k_to_float(tensor->weights_data, f, tensor->num_weights);
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gguf_q6_k_to_float(tensor->weights_data, f, tensor->num_weights, NULL);
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} else if (tensor->type == GGUF_TYPE_Q2_K) {
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gguf_q2_k_to_float(tensor->weights_data, f, tensor->num_weights);
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gguf_q2_k_to_float(tensor->weights_data, f, tensor->num_weights, NULL);
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} else {
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errno = EINVAL;
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return NULL;
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}
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return f;
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}
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/* Same as gguf_tensor_to_float() but the result will be an f16 tensor, that is
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* an array of int16_t values. */
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int16_t *gguf_tensor_to_f16(gguf_tensor *tensor) {
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int16_t *f16 = malloc(tensor->num_weights*sizeof(int16_t));
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if (tensor->type == GGUF_TYPE_F32) {
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float *f = (float*)tensor->weights_data;
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for (uint64_t j = 0; j < tensor->num_weights; j++)
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f16[j] = to_half(f[j]);
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} else if (tensor->type == GGUF_TYPE_F16) {
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memcpy(f16, tensor->weights_data, tensor->num_weights*sizeof(int16_t));
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} else if (tensor->type == GGUF_TYPE_Q8_0) {
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gguf_q8_0_to_float(tensor->weights_data, f16, tensor->num_weights, gguf_store_f16_callback);
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} else if (tensor->type == GGUF_TYPE_Q4_K) {
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gguf_q4_k_to_float(tensor->weights_data, f16, tensor->num_weights, gguf_store_f16_callback);
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} else if (tensor->type == GGUF_TYPE_Q6_K) {
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gguf_q6_k_to_float(tensor->weights_data, f16, tensor->num_weights, gguf_store_f16_callback);
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} else if (tensor->type == GGUF_TYPE_Q2_K) {
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gguf_q2_k_to_float(tensor->weights_data, f16, tensor->num_weights, gguf_store_f16_callback);
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} else {
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errno = EINVAL;
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return NULL;
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}
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return f16;
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}
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@@ -184,5 +184,6 @@ int gguf_append_tensor_data(gguf_ctx *ctx, void *tensor, uint64_t tensor_size);
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uint64_t gguf_get_alignment_padding(uint64_t alignment, uint64_t offset);
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void gguf_skip_key_values_section(gguf_ctx *ctx);
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float *gguf_tensor_to_float(gguf_tensor *tensor);
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int16_t *gguf_tensor_to_f16(gguf_tensor *tensor);
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#endif
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