main.py

main.py

@@ -0,0 +1,21 @@
+from ctransformers import AutoModelForCausalLM
+from fastapi import FastAPI
+from pydantic import BaseModel
+
+llm = AutoModelForCausalLM.from_pretrained("TheBloke/CodeLlama-7B-Instruct-GGUF", 
+                                           model_file="codellama-7b-instruct.q4_K_M.gguf", 
+                                           model_type="llama", 
+                                           gpu_layers=0)
+#Pydantic object
+class validation(BaseModel):
+    prompt: str
+#Fast API
+app = FastAPI()
+
+@app.post("/llm_on_cpu")
+async def stream(item: validation):
+    system_prompt = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.'
+    E_INST = "</s>"
+    user, assistant = "<|user|>", "<|assistant|>"
+    prompt = f"{system_prompt}{E_INST}\n{user}\n{item.prompt}{E_INST}\n{assistant}\n"
+    return llm(prompt)