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Flux2 specific filter

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This commit is contained in:
City
2025-11-27 22:05:57 +01:00
parent 5ade9afe98
commit ec7506d680
1 changed files with 7 additions and 4 deletions
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tools/lcpp.patch
+7 -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..8a1e9ef8 100644
index 24e1f1f0..78b74deb 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -205,6 +205,18 @@ enum llm_arch {
@@ -354,7 +354,7 @@ index 24e1f1f0..8a1e9ef8 100644
}
// Set split info if needed
@@ -18647,6 +18908,124 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18647,6 +18908,127 @@ 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;
@@ -368,6 +368,9 @@ index 24e1f1f0..8a1e9ef8 100644
+ quantize &= name.find("vector_in.") == std::string::npos;
+ quantize &= name.find("guidance_in.") == std::string::npos;
+ quantize &= name.find("final_layer.") == std::string::npos;
+ // flux2
+ quantize &= name.find("single_stream_modulation.") == std::string::npos;
+ quantize &= name.find("double_stream_modulation_") == std::string::npos;
+ }
+ if (model.arch == LLM_ARCH_SD1 || model.arch == LLM_ARCH_SDXL) {
+ image_model = true;
@@ -479,7 +482,7 @@ index 24e1f1f0..8a1e9ef8 100644
enum ggml_type new_type;
void * new_data;
size_t new_size;
@@ -18655,6 +19034,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18655,6 +19037,9 @@ 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.
@@ -489,7 +492,7 @@ index 24e1f1f0..8a1e9ef8 100644
if (!params->pure && ggml_is_quantized(default_type)) {
new_type = llama_tensor_get_type(qs, new_type, tensor, ftype);
}
@@ -18664,6 +19046,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18664,6 +19049,7 @@ 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;
}