Fix rope scaling defaults (ggml-org#767)

* Fix rope scale with backwards compatibility

* Fix defaults

* Fix op

* Remove backwards compatibility

* Check single val

llama_cpp/llama.py

@@ -229,8 +229,8 @@ def __init__(
         n_batch: int = 512,
         n_threads: Optional[int] = None,
         n_threads_batch: Optional[int] = None,
-        rope_freq_base: float = 10000.0,
-        rope_freq_scale: float = 1.0,
+        rope_freq_base: float = 0.0,
+        rope_freq_scale: float = 0.0,
         mul_mat_q: bool = True,
         f16_kv: bool = True,
         logits_all: bool = False,
@@ -282,7 +282,6 @@ def __init__(
         Returns:
             A Llama instance.
         """
-
         self.verbose = verbose
 
         self.numa = numa
@@ -320,16 +319,19 @@ def __init__(
         self.n_threads_batch = n_threads_batch or max(
             multiprocessing.cpu_count() // 2, 1
         )
-
         # Context Params
         self.context_params = llama_cpp.llama_context_default_params()
         self.context_params.seed = seed
         self.context_params.n_ctx = n_ctx
         self.context_params.n_batch = self.n_batch
         self.context_params.n_threads = self.n_threads
         self.context_params.n_threads_batch = self.n_threads_batch
-        self.context_params.rope_freq_base = rope_freq_base
-        self.context_params.rope_freq_scale = rope_freq_scale
+        self.context_params.rope_freq_base = (
+            rope_freq_base if rope_freq_base != 0.0 else 0
+        )
+        self.context_params.rope_freq_scale = (
+            rope_freq_scale if rope_freq_scale != 0.0 else 0
+        )
         self.context_params.mul_mat_q = mul_mat_q
         self.context_params.f16_kv = f16_kv
         self.context_params.logits_all = logits_all
@@ -338,7 +340,6 @@ def __init__(
         # Sampling Params
         self.last_n_tokens_size = last_n_tokens_size
 
-
         self.cache: Optional[BaseLlamaCache] = None
 
         self.lora_base = lora_base