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from ctransformers import AutoModelForCausalLM
from fastapi import FastAPI, Form
from pydantic import BaseModel
#Model loading
llm = AutoModelForCausalLM.from_pretrained("TheBloke/Toppy-M-7B-GGUF", model_file="toppy-m-7b.Q5_K_S.gguf", model_type="mistral", gpu_layers=50)
#Pydantic object
class validation(BaseModel):
prompt: str
#Fast API
app = FastAPI()
#Zephyr completion
@app.post("/llm_on_gpu")
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.strip()}{E_INST}\n{assistant}\n"
return llm(prompt) |