model: add support for qwen3vl series (#16780)

* support qwen3vl series.

Co-authored-by: Thireus ☠ <Thireus@users.noreply.github.com>
Co-authored-by: yairpatch <yairpatch@users.noreply.github.com>
Co-authored-by: LETS-BEE <LETS-BEE@users.noreply.github.com>

* bugfix: fix the arch check for qwen3vl-moe.

* use build_ffn

* optimize deepstack structure

* optimize deepstack feature saving

* Revert "optimize deepstack feature saving" for temporal fix

This reverts commit f321b9fdf13e59527408152e73b1071e19a87e71.

* code clean

* use fused qkv in clip

* clean up / rm is_deepstack_layers for simplification

* add test model

* move test model to "big" section

* fix imrope check

* remove trailing whitespace

* fix rope fail

* metal : add imrope support

* add imrope support for sycl

* vulkan: add imrope w/o check

* fix vulkan

* webgpu: add imrope w/o check

* Update gguf-py/gguf/tensor_mapping.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* fix tensor mapping

---------

Co-authored-by: Thireus ☠ <Thireus@users.noreply.github.com>
Co-authored-by: yairpatch <yairpatch@users.noreply.github.com>
Co-authored-by: LETS-BEE <LETS-BEE@users.noreply.github.com>
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
This commit is contained in:
JJJYmmm
2025-10-30 23:19:14 +08:00
committed by GitHub
parent dcca0d3ab8
commit d261223d24
28 changed files with 1125 additions and 97 deletions

View File

@@ -27,6 +27,7 @@ layout (push_constant) uniform parameter {
uint s1;
uint s2;
int sections[4];
uint is_imrope;
uint is_back;
uint set_rows_stride;
} p;

View File

@@ -32,17 +32,29 @@ void main() {
const uint sector = (i0 / 2) % sect_dims;
float theta_base = 0.0;
if (sector < p.sections[0]) {
theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= p.sections[0] && sector < sec_w) {
theta_base = data_pos[channel_x + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= sec_w && sector < sec_w + p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= sec_w + p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
if (p.is_imrope != 0) {
if (sector % 3 == 1 && sector < 3 * p.sections[1]) {
theta_base = data_pos[channel_x + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
} else if (sector % 3 == 2 && sector < 3 * p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
} else if (sector % 3 == 0 && sector < 3 * p.sections[0]) {
theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
} else {
theta_base = data_pos[channel_x + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
}
} else {
if (sector < p.sections[0]) {
theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= p.sections[0] && sector < sec_w) {
theta_base = data_pos[channel_x + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= sec_w && sector < sec_w + p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= sec_w + p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
}
}
const float freq_factor = p.has_ff != 0 ? data_ff[i0/2] : 1.0f;