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clip : revert the change of BOI/EOI token for GLM-edge (⚠️ breaking change) (#13259)

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Xuan-Son Nguyen
2025-05-03 20:07:54 +02:00
committed by GitHub
parent 3bf785f3ef
commit 36667c8edc
3 changed files with 22 additions and 12 deletions
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26
tools/llava/clip.cpp
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@@ -249,9 +249,11 @@ struct clip_vision_model {
struct ggml_tensor * mm_4_w = nullptr;
struct ggml_tensor * mm_4_b = nullptr;
//GLMV-Edge projection
// GLMV-Edge projection
struct ggml_tensor * mm_model_adapter_conv_w = nullptr;
struct ggml_tensor * mm_model_adapter_conv_b = nullptr;
struct ggml_tensor * mm_glm_tok_boi = nullptr;
struct ggml_tensor * mm_glm_tok_eoi = nullptr;
// MobileVLM projection
struct ggml_tensor * mm_model_mlp_1_w = nullptr;
@@ -1559,6 +1561,13 @@ static ggml_cgraph * clip_image_build_graph_legacy(clip_ctx * ctx, const clip_im
embeddings = ggml_mul(ctx0, embeddings,x);
embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_3_w, embeddings);
}
// arrangement of BOI/EOI token embeddings
// note: these embeddings are not present in text model, hence we cannot process them as text tokens
// see: https://huggingface.co/THUDM/glm-edge-v-2b/blob/main/siglip.py#L53
{
embeddings = ggml_concat(ctx0, model.mm_glm_tok_boi, embeddings, 1); // BOI
embeddings = ggml_concat(ctx0, embeddings, model.mm_glm_tok_eoi, 1); // EOI
}
}
else if (ctx->proj_type == PROJECTOR_TYPE_QWEN2VL) {
@@ -1972,12 +1981,14 @@ struct clip_model_loader {
{
vision_model.mm_model_adapter_conv_w = get_tensor(string_format(TN_GLM_ADAPER_CONV, "weight"));
vision_model.mm_model_adapter_conv_b = get_tensor(string_format(TN_GLM_ADAPER_CONV, "bias"));
vision_model.mm_model_mlp_0_w = get_tensor(string_format(TN_GLM_ADAPTER_LINEAR,"weight"));
vision_model.mm_model_ln_q_w = get_tensor(string_format(TN_GLM_ADAPTER_NORM_1,"weight"));
vision_model.mm_model_ln_q_b = get_tensor(string_format(TN_GLM_ADAPTER_NORM_1,"bias"));
vision_model.mm_model_mlp_1_w = get_tensor(string_format(TN_GLM_ADAPTER_D_H_2_4H,"weight"));
vision_model.mm_model_mlp_2_w = get_tensor(string_format(TN_GLM_ADAPTER_GATE,"weight"));
vision_model.mm_model_mlp_3_w = get_tensor(string_format(TN_GLM_ADAPTER_D_4H_2_H,"weight"));
vision_model.mm_model_mlp_0_w = get_tensor(string_format(TN_GLM_ADAPTER_LINEAR, "weight"));
vision_model.mm_model_ln_q_w = get_tensor(string_format(TN_GLM_ADAPTER_NORM_1, "weight"));
vision_model.mm_model_ln_q_b = get_tensor(string_format(TN_GLM_ADAPTER_NORM_1, "bias"));
vision_model.mm_model_mlp_1_w = get_tensor(string_format(TN_GLM_ADAPTER_D_H_2_4H, "weight"));
vision_model.mm_model_mlp_2_w = get_tensor(string_format(TN_GLM_ADAPTER_GATE, "weight"));
vision_model.mm_model_mlp_3_w = get_tensor(string_format(TN_GLM_ADAPTER_D_4H_2_H, "weight"));
vision_model.mm_glm_tok_boi = get_tensor(string_format(TN_TOK_GLM_BOI, "weight"));
vision_model.mm_glm_tok_eoi = get_tensor(string_format(TN_TOK_GLM_EOI, "weight"));
} break;
case PROJECTOR_TYPE_QWEN2VL:
case PROJECTOR_TYPE_QWEN25VL:
@@ -2948,6 +2959,7 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
if (ctx->proj_type == PROJECTOR_TYPE_LDP || ctx->proj_type == PROJECTOR_TYPE_LDPV2 || ctx->proj_type == PROJECTOR_TYPE_GLM_EDGE) {
n_patches /= 4;
n_patches += 2; // for BOI and EOI token embeddings
} else if (ctx->proj_type == PROJECTOR_TYPE_MINICPMV) {
if (ctx->minicpmv_version == 2) {
n_patches = 96;