Update llama.cpp

llama_cpp/llama.py

@@ -233,7 +233,7 @@ class Llama:
         rope_scaling_type: Optional[int] = llama_cpp.LLAMA_ROPE_SCALING_UNSPECIFIED,
         rope_freq_base: float = 0.0,
         rope_freq_scale: float = 0.0,
-        yarn_ext_factor: float = float("nan"),
+        yarn_ext_factor: float = -1.0,
         yarn_attn_factor: float = 1.0,
         yarn_beta_fast: float = 32.0,
         yarn_beta_slow: float = 1.0,

llama_cpp/llama_cpp.py

@@ -315,11 +315,11 @@ class llama_model_params(Structure):
 
 
 # struct llama_context_params {
-#     uint32_t seed;            // RNG seed, -1 for random
-#     uint32_t n_ctx;           // text context, 0 = from model
-#     uint32_t n_batch;         // prompt processing maximum batch size
-#     uint32_t n_threads;       // number of threads to use for generation
-#     uint32_t n_threads_batch; // number of threads to use for batch processing
+#     uint32_t seed;              // RNG seed, -1 for random
+#     uint32_t n_ctx;             // text context, 0 = from model
+#     uint32_t n_batch;           // prompt processing maximum batch size
+#     uint32_t n_threads;         // number of threads to use for generation
+#     uint32_t n_threads_batch;   // number of threads to use for batch processing
 #     int8_t   rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type`
 
 #     // ref: https://github.com/ggerganov/llama.cpp/pull/2054

llama_cpp/server/app.py

@@ -93,7 +93,7 @@ class Settings(BaseSettings):
         default=0.0, description="RoPE frequency scaling factor"
     )
     yarn_ext_factor: float = Field(
-        default=float("nan")
+        default=-1.0
     )
     yarn_attn_factor: float = Field(
         default=1.0

vendor/llama.cpp

@@ -1 +1 @@
-Subproject commit 629f917cd6b96ba1274c49a8aab163b1b189229d
+Subproject commit abb77e7319aabc0b5cfb7c22da690a692489b6b7