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from ctransformers import AutoModelForCausalLM
from fastapi import FastAPI, Form
from pydantic import BaseModel
#Model loading
llm = AutoModelForCausalLM.from_pretrained("pt_merge_model_v3.Q4_K_M.gguf",
model_type='llama',
max_new_tokens = 512,
threads = 3,
)
#Pydantic object
class validation(BaseModel):
prompt: str
#Fast API
app = FastAPI()
#Zephyr completion
@app.post("/llama_run")
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>>\n + {system_prompt} + <</SYS>>\n{item.strip()}[/INST]"
return llm(prompt)
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