Update Llama to add params

llama_cpp/llama.py

@@ -13,12 +13,15 @@ class Llama:
     def __init__(
         self,
         model_path: str,
+        # NOTE: The following parameters are likely to change in the future.
         n_ctx: int = 512,
         n_parts: int = -1,
         seed: int = 1337,
         f16_kv: bool = False,
         logits_all: bool = False,
         vocab_only: bool = False,
+        use_mlock: bool = False,
+        embedding: bool = False,
         n_threads: Optional[int] = None,
     ) -> "Llama":
         """Load a llama.cpp model from `model_path`.
@@ -31,6 +34,8 @@ class Llama:
             f16_kv: Use half-precision for key/value cache.
             logits_all: Return logits for all tokens, not just the last token.
             vocab_only: Only load the vocabulary no weights.
+            use_mlock: Force the system to keep the model in RAM.
+            embedding: Embedding mode only.
             n_threads: Number of threads to use. If None, the number of threads is automatically determined.
 
         Raises:
@@ -51,6 +56,8 @@ class Llama:
         self.params.f16_kv = f16_kv
         self.params.logits_all = logits_all
         self.params.vocab_only = vocab_only
+        self.params.use_mlock = use_mlock
+        self.params.embedding = embedding
 
         self.n_threads = n_threads or multiprocessing.cpu_count()