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main.py

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+from ctransformers import AutoModelForCausalLM
+from fastapi import FastAPI
+from pydantic import BaseModel
+
+
+llm = AutoModelForCausalLM.from_pretrained("llama2-tuned.gguf",
+model_type='llama-2',
+max_new_tokens = 1096,
+threads = 3,
+)
+
+#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.'
+    prompt = f"""<s>[INST] <<SYS>>
+            {system_prompt}
+            <</SYS>>
+            {item.prompt} [/INST]"""
+    return llm(prompt)

requirements.txt

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+python-multipart
+fastapi
+pydantic
+uvicorn
+requests
+ctransformers