feat: update llama.cpp to 7d7f02875

.github/workflows/test.yaml

@@ -25,7 +25,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v6
         with:
-          python-version: "3.9"
+          python-version: "3.10"
       - name: Install huggingface-hub
         run: pip install huggingface-hub
       - name: Restore model cache
@@ -44,7 +44,7 @@ jobs:
 
   build-linux:
     needs: download-model
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-24.04
     strategy:
       matrix:
         python-version: ["3.9", "3.10", "3.11", "3.12"]

CHANGELOG.md

@@ -7,6 +7,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+- feat: update llama.cpp to ggml-org/llama.cpp@7d7f02875
+
 ## [0.3.36]
 
 - feat: update llama.cpp to ggml-org/llama.cpp@0c1e57098

llama_cpp/llama_cpp.py

@@ -1027,6 +1027,8 @@ class llama_context_params(ctypes.Structure):
         cb_eval_user_data (ctypes.ctypes.c_void_p): user data for cb_eval
         type_k (int): data type for K cache
         type_v (int): data type for V cache
+        moe_cache_size (int): device cache size in bytes for host-resident MoE experts
+        moe_cache_cpu_share (float): share of MoE cache misses computed on the CPU
         abort_callback (ggml_abort_callback): abort callback if it returns true, execution of llama_decode() will be aborted
         abort_callback_data (ctypes.ctypes.c_void_p): data for abort_callback
         embeddings (bool): if true, extract embeddings (together with logits)
@@ -1067,6 +1069,8 @@ class llama_context_params(ctypes.Structure):
         cb_eval_user_data: ctypes.c_void_p
         type_k: int
         type_v: int
+        moe_cache_size: int
+        moe_cache_cpu_share: float
         abort_callback: Callable[[ctypes.c_void_p], bool]
         abort_callback_data: ctypes.c_void_p
         embeddings: bool
@@ -1106,6 +1110,8 @@ class llama_context_params(ctypes.Structure):
         ("cb_eval_user_data", ctypes.c_void_p),
         ("type_k", ctypes.c_int),
         ("type_v", ctypes.c_int),
+        ("moe_cache_size", ctypes.c_size_t),
+        ("moe_cache_cpu_share", ctypes.c_float),
         ("abort_callback", ggml_abort_callback),
         ("abort_callback_data", ctypes.c_void_p),
         ("embeddings", ctypes.c_bool),
@@ -5238,6 +5244,8 @@ def llama_log_set(
 #     int32_t n_p_eval;
 #     int32_t n_eval;
 #     int32_t n_reused; // number of times a ggml compute graph had been reused
+#     int32_t n_reallocs_same; // reallocations with unchanged graph size
+#     int32_t n_reallocs_diff; // reallocations with changed graph size
 # };
 class llama_perf_context_data(ctypes.Structure):
     _fields_ = [
@@ -5248,6 +5256,8 @@ class llama_perf_context_data(ctypes.Structure):
         ("n_p_eval", ctypes.c_int32),
         ("n_eval", ctypes.c_int32),
         ("n_reused", ctypes.c_int32),
+        ("n_reallocs_same", ctypes.c_int32),
+        ("n_reallocs_diff", ctypes.c_int32),
     ]