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Blind fix for S2V

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This commit is contained in:
City
2025-08-27 11:04:22 +02:00
parent 7c2ceff6ed
commit bfd9b39080
2 changed files with 15 additions and 5 deletions
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tools/lcpp.patch
+10 -4
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@@ -39,7 +39,7 @@ index b16c462f..6d1568f1 100644
const int idx = gguf_find_tensor(ctx, name);
if (idx < 0) {
diff --git a/src/llama.cpp b/src/llama.cpp
index 24e1f1f0..19fdc5df 100644
index 24e1f1f0..569778fd 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -205,6 +205,18 @@ enum llm_arch {
@@ -348,7 +348,7 @@ index 24e1f1f0..19fdc5df 100644
}
// Set split info if needed
@@ -18647,6 +18902,118 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18647,6 +18902,124 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
// do not quantize relative position bias (T5)
quantize &= name.find("attn_rel_b.weight") == std::string::npos;
@@ -423,6 +423,12 @@ index 24e1f1f0..19fdc5df 100644
+ quantize &= name.find("time_embedding.") == std::string::npos;
+ quantize &= name.find("img_emb.") == std::string::npos;
+ quantize &= name.find("head.") == std::string::npos;
+ // S2V
+ quantize &= name.find("cond_encoder.") == std::string::npos;
+ quantize &= name.find("frame_packer.") == std::string::npos;
+ quantize &= name.find("audio_injector.") == std::string::npos;
+ quantize &= name.find("casual_audio_encoder.") == std::string::npos;
+ quantize &= name.find("trainable_cond_mask.") == std::string::npos;
+ }
+ if (model.arch == LLM_ARCH_HIDREAM) {
+ image_model = true;
@@ -467,7 +473,7 @@ index 24e1f1f0..19fdc5df 100644
enum ggml_type new_type;
void * new_data;
size_t new_size;
@@ -18655,6 +19022,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18655,6 +19028,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
new_type = default_type;
// get more optimal quantization type based on the tensor shape, layer, etc.
@@ -477,7 +483,7 @@ index 24e1f1f0..19fdc5df 100644
if (!params->pure && ggml_is_quantized(default_type)) {
new_type = llama_tensor_get_type(qs, new_type, tensor, ftype);
}
@@ -18664,6 +19034,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18664,6 +19040,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
if (params->output_tensor_type < GGML_TYPE_COUNT && strcmp(tensor->name, "output.weight") == 0) {
new_type = params->output_tensor_type;
}