Initial commit

llama_cpp/llama.py

@@ -0,0 +1,131 @@
+import uuid
+import time
+import multiprocessing
+from typing import List, Optional
+
+from . import llama_cpp
+
+class Llama:
+    def __init__(
+        self,
+        model_path: str,
+        n_ctx: int = 512,
+        n_parts: int = -1,
+        seed: int = 1337,
+        f16_kv: bool = False,
+        logits_all: bool = False,
+        vocab_only: bool = False,
+        n_threads: Optional[int] = None,
+        model_name: Optional[str]=None,
+    ):
+        self.model_path = model_path
+        self.model = model_name or model_path
+
+        self.params = llama_cpp.llama_context_default_params()
+        self.params.n_ctx = n_ctx
+        self.params.n_parts = n_parts
+        self.params.seed = seed
+        self.params.f16_kv = f16_kv
+        self.params.logits_all = logits_all
+        self.params.vocab_only = vocab_only
+
+        self.n_threads = n_threads or multiprocessing.cpu_count()
+
+        self.tokens = (llama_cpp.llama_token * self.params.n_ctx)()
+
+        self.ctx = llama_cpp.llama_init_from_file(
+            self.model_path.encode("utf-8"), self.params
+        )
+
+    def __call__(
+        self,
+        prompt: str,
+        suffix: Optional[str] = None,
+        max_tokens: int = 16,
+        temperature: float = 0.8,
+        top_p: float = 0.95,
+        echo: bool = False,
+        stop: List[str] = [],
+        repeat_penalty: float = 1.1,
+        top_k: int = 40,
+    ):
+        text = ""
+        finish_reason = "length"
+        completion_tokens = 0
+
+        prompt_tokens = llama_cpp.llama_tokenize(
+            self.ctx, prompt.encode("utf-8"), self.tokens, self.params.n_ctx, True
+        )
+
+        if prompt_tokens + max_tokens > self.params.n_ctx:
+            raise ValueError(
+                f"Requested tokens exceed context window of {self.params.n_ctx}"
+            )
+
+        for i in range(prompt_tokens):
+            llama_cpp.llama_eval(
+                self.ctx, (llama_cpp.c_int * 1)(self.tokens[i]), 1, i, self.n_threads
+            )
+
+        for i in range(max_tokens):
+            token = llama_cpp.llama_sample_top_p_top_k(
+                self.ctx,
+                self.tokens,
+                prompt_tokens + completion_tokens,
+                top_k=top_k,
+                top_p=top_p,
+                temp=temperature,
+                repeat_penalty=repeat_penalty,
+            )
+            if token == llama_cpp.llama_token_eos():
+                finish_reason = "stop"
+                break
+            text += llama_cpp.llama_token_to_str(self.ctx, token).decode("utf-8")
+            self.tokens[prompt_tokens + i] = token
+            completion_tokens += 1
+
+            any_stop = [s for s in stop if s in text]
+            if len(any_stop) > 0:
+                first_stop = any_stop[0]
+                text = text[: text.index(first_stop)]
+                finish_reason = "stop"
+                break
+
+            llama_cpp.llama_eval(
+                self.ctx,
+                (llama_cpp.c_int * 1)(self.tokens[prompt_tokens + i]),
+                1,
+                prompt_tokens + completion_tokens,
+                self.n_threads,
+            )
+
+        if echo:
+            text = prompt + text
+
+        if suffix is not None:
+            text = text + suffix
+
+        return {
+            "id": f"cmpl-{str(uuid.uuid4())}", # Likely to change
+            "object": "text_completion",
+            "created": int(time.time()),
+            "model": self.model, # Likely to change
+            "choices": [
+                {
+                    "text": text,
+                    "index": 0,
+                    "logprobs": None,
+                    "finish_reason": finish_reason,
+                }
+            ],
+            "usage": {
+                "prompt_tokens": prompt_tokens,
+                "completion_tokens": completion_tokens,
+                "total_tokens": prompt_tokens + completion_tokens,
+            },
+        }
+
+    def __del__(self):
+        llama_cpp.llama_free(self.ctx)
+
+