zhangyiss/gguf-tools
1
0
Fork 0
mirror of https://github.com/antirez/gguf-tools.git synced 2025-09-16 17:48:08 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Q2_K dequantization.

Browse Source
This commit is contained in:
antirez
2024-01-05 23:38:47 +01:00
parent e48ca317ea
commit 419d4706f6
1 changed files with 65 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

68
gguflib.c
View File

@@ -504,7 +504,7 @@ int gguf_append_tensor_data(gguf_ctx *ctx, void *tensor, uint64_t tensor_size) {
/* ============================ GGUF dequantization ========================= */
/* G8_0 blocks dequantization to floats.
/* Q8_0 blocks dequantization to floats.
* 'y' is supposed to have enough space for 'count' weights. */
void gguf_q8_0_to_float(void *weights_data, float *y, uint64_t count) {
struct gguf_tensor_type_features *tf =
@@ -526,7 +526,7 @@ void gguf_q8_0_to_float(void *weights_data, float *y, uint64_t count) {
}
}
/* G4_K blocks dequantization to floats.
/* Q4_K blocks dequantization to floats.
* 'y' is supposed to have enough space for 'count' weights. */
void gguf_q4_k_to_float(void *weights_data, float *y, uint64_t count) {
uint8_t *block = weights_data;
@@ -607,7 +607,7 @@ void gguf_q4_k_to_float(void *weights_data, float *y, uint64_t count) {
}
}
/* G6_K blocks dequantization to floats.
/* Q6_K blocks dequantization to floats.
* 'y' is supposed to have enough space for 'count' weights. */
void gguf_q6_k_to_float(void *weights_data, float *y, uint64_t count) {
uint8_t *block = weights_data;
@@ -682,6 +682,66 @@ void gguf_q6_k_to_float(void *weights_data, float *y, uint64_t count) {
}
}
/* Q2_K blocks dequantization to floats.
* 'y' is supposed to have enough space for 'count' weights. */
void gguf_q2_k_to_float(void *weights_data, float *y, uint64_t count) {
uint8_t *block = weights_data;
uint64_t i = 0; // i-th weight to dequantize.
while(i < count) {
/* Q2_K superblocks of 256 weights:
* | 16 bytes of 16 scales, 16 mins quantized at 4 bits | +
* | 64 bytes of 2-bit 256 quants (16 elements x 16 blocks) | +
* | 2 bytes F16 scale of scales | +
* | 2 bytes F16 scale of mins |
*
* Weights are organized as follows:
*
* |76543210| (bit number)
* 16 bytes scales/mins are just |min scal| x 16, from block
* 0 to 15, sequentially.
*
* 64 bytes of 2 bits quants are stored like that:
* Weights from 0 to 31: bits 1,0 of bytes 0-31 (block 0, 1)
* Weights from 32 to 63: bits 3,2 of bytes 0-31 (block 2, 3)
* Weights from 64 to 95: bits 5,4 of bytes 0-31 (block 4, 5)
* Weights from 96 to 127: bits 7,6 of bytes 0-31 (block 6, 7)
*
* The same happens for the next 8 blocks, stored in the remaining
* 32 bytes.
*
* The final weight is computed as: w = q2 * block_scale - block_min.
*
* Since in this code we want to be simple more than fast (at least
* for now), the i-th weight can be found (considering we have
* two clusters of 128 weights each):
*
* cluster = i/128 # Cluster 0 or 1
* byte = i % 32
* shift = i / 32 * 2
* w[i] = (quants[byte + (cluster*32)] >> shift) & 3
*/
float scale_of_scales = from_half(*((uint16_t*)(block+16+64)));
float scale_of_mins = from_half(*((uint16_t*)(block+16+64+2)));
float scale, min;
int bn = 0; // Block number
for (uint64_t cluster = 0; cluster < 2; cluster++) {
for (uint64_t j = 0; j < 128; j++) {
/* Use new scale/min for each 16 weights sub-block. */
if (j % 16 == 0) {
scale = scale_of_scales * (block[bn] & 0xf);
min = scale_of_mins * (block[bn] >> 4);
bn++;
}
uint8_t q = (block[16+j%32+cluster*32] >> (j/32*2)) & 3;
y[i++] = q * scale - min;
if (i == count) return;
}
}
block += 16+64+4;
}
}
/* FP16 blocks dequantization to floats.
* 'y' is supposed to have enough space for 'count' weights. */
void gguf_f16_to_float(void *weights_data, float *y, uint64_t count) {
@@ -711,6 +771,8 @@ float *gguf_tensor_to_float(gguf_tensor *tensor) {
gguf_q4_k_to_float(tensor->weights_data, f, tensor->num_weights);
} else if (tensor->type == GGUF_TYPE_Q6_K) {
gguf_q6_k_to_float(tensor->weights_data, f, tensor->num_weights);
} else if (tensor->type == GGUF_TYPE_Q2_K) {
gguf_q2_k_to_float(tensor->weights_data, f, tensor->num_weights);
} else {
errno = EINVAL;
return NULL;