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-rw-r--r--examples/baby-llama/baby-llama.cpp6
-rw-r--r--examples/common.h2
-rw-r--r--examples/train-text-from-scratch/train-text-from-scratch.cpp2
3 files changed, 7 insertions, 3 deletions
diff --git a/examples/baby-llama/baby-llama.cpp b/examples/baby-llama/baby-llama.cpp
index f9dc0aa..6fa55b3 100644
--- a/examples/baby-llama/baby-llama.cpp
+++ b/examples/baby-llama/baby-llama.cpp
@@ -8,7 +8,11 @@
#pragma warning(disable: 4244 4267) // possible loss of data
#endif
-static const float rms_norm_eps = 1e-6f;
+#ifdef LLAMA_DEFAULT_RMS_EPS
+static const float rms_norm_eps = LLAMA_DEFAULT_RMS_EPS;
+#else
+static const float rms_norm_eps = 5e-6f;
+#endif
float frand() {
return (float)rand()/(float)RAND_MAX;
diff --git a/examples/common.h b/examples/common.h
index 2d87c92..672dcf7 100644
--- a/examples/common.h
+++ b/examples/common.h
@@ -34,7 +34,7 @@ struct gpt_params {
int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors
float tensor_split[LLAMA_MAX_DEVICES] = {0}; // how split tensors should be distributed across GPUs
int32_t n_probs = 0; // if greater than 0, output the probabilities of top n_probs tokens.
- float rms_norm_eps = 1e-6; // rms norm epsilon
+ float rms_norm_eps = LLAMA_DEFAULT_RMS_EPS; // rms norm epsilon
float rope_freq_base = 10000.0f; // RoPE base frequency
float rope_freq_scale = 1.0f; // RoPE frequency scaling factor
diff --git a/examples/train-text-from-scratch/train-text-from-scratch.cpp b/examples/train-text-from-scratch/train-text-from-scratch.cpp
index 4bbf6b7..54dc2be 100644
--- a/examples/train-text-from-scratch/train-text-from-scratch.cpp
+++ b/examples/train-text-from-scratch/train-text-from-scratch.cpp
@@ -16,7 +16,7 @@
#pragma warning(disable: 4244 4267) // possible loss of data
#endif
-static const float rms_norm_eps = 1e-6f;
+static const float rms_norm_eps = LLAMA_DEFAULT_RMS_EPS;
struct random_normal_distribution {
std::mt19937 gen;