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feat: add LTX-2.5 support (#1893)

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Co-authored-by: leejet <leejet714@gmail.com>
This commit is contained in:
Piotr Wilkin (ilintar)
2026-08-30 19:13:06 +08:00
committed by GitHub
co-authored by leejet
parent 2c929495ab
commit afd5306d88
7 changed files with 296 additions and 31 deletions
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src/model/common/block.hpp
+4 -3
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@@ -268,10 +268,11 @@ public:
int64_t dim_out,
int64_t mult = 4,
Activation activation = Activation::GEGLU,
bool precision_fix = false) {
bool precision_fix = false,
bool bias = true) {
int64_t inner_dim = dim * mult;
if (activation == Activation::GELU) {
blocks["net.0"] = std::shared_ptr<GGMLBlock>(new GELU(dim, inner_dim));
blocks["net.0"] = std::shared_ptr<GGMLBlock>(new GELU(dim, inner_dim, bias));
} else {
blocks["net.0"] = std::shared_ptr<GGMLBlock>(new GEGLU(dim, inner_dim));
}
@@ -285,7 +286,7 @@ public:
// The purpose of the scale here is to prevent NaN issues in certain situations.
// For example, when using Vulkan without enabling force_prec_f32,
// or when using CUDA but the weights are k-quants.
blocks["net.2"] = std::shared_ptr<GGMLBlock>(new Linear(inner_dim, dim_out, true, false, force_prec_f32, scale));
blocks["net.2"] = std::shared_ptr<GGMLBlock>(new Linear(inner_dim, dim_out, bias, false, force_prec_f32, scale));
}
ggml_tensor* forward(GGMLRunnerContext* ctx, ggml_tensor* x) {