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Update vendor ggml code to a5bb8ba4 (#13832)

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Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
Co-authored-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: Shalini Salomi Bodapati <Shalini.Salomi.Bodapati@ibm.com>
This commit is contained in:
Jeffrey Morgan
2026-02-02 17:31:59 -08:00
committed by GitHub
parent 8f4a008139
commit ef00199fb4
241 changed files with 21271 additions and 5074 deletions
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48
llama/llama.cpp/tools/mtmd/models/models.h vendored
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@@ -2,6 +2,11 @@
#include "../clip-graph.h"
/*
* IMPORTANT: The mtmd module does NOT accept pull requests that are fully or predominantly AI-generated.
* We encourage human contributors to ensure the quality and reliability of the codebase.
*/
struct clip_graph_siglip : clip_graph {
clip_graph_siglip(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
ggml_cgraph * build() override;
@@ -22,6 +27,11 @@ struct clip_graph_qwen3vl : clip_graph {
ggml_cgraph * build() override;
};
struct clip_graph_youtuvl : clip_graph {
clip_graph_youtuvl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
ggml_cgraph * build() override;
};
struct clip_graph_minicpmv : clip_graph {
clip_graph_minicpmv(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
ggml_cgraph * build() override;
@@ -57,7 +67,45 @@ struct clip_graph_whisper_enc : clip_graph {
ggml_cgraph * build() override;
};
struct clip_graph_conformer : clip_graph {
clip_graph_conformer(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
ggml_cgraph * build() override;
};
struct clip_graph_glm4v : clip_graph {
clip_graph_glm4v(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
ggml_cgraph * build() override;
};
struct clip_graph_mobilenetv5 : clip_graph {
clip_graph_mobilenetv5(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
ggml_cgraph * build() override;
ggml_tensor * rms_norm_2d(
ggml_tensor * inp,
ggml_tensor * weight,
float eps = 1e-6f);
ggml_tensor* pad_same_2d(
ggml_tensor* inp,
int kernel_h,
int kernel_w,
int stride_h,
int stride_w,
int dilation_h = 1,
int dilation_w = 1);
ggml_tensor * build_edge_residual(
ggml_tensor * inp,
const mobilenetv5_block & block,
int stride);
ggml_tensor * build_inverted_residual(
ggml_tensor * inp,
const mobilenetv5_block & block,
int stride);
ggml_tensor * build_mobilenet_attn(
ggml_tensor * inp,
const mobilenetv5_block & block);
};