File size: 748 Bytes
3fa3baf f41e5fe bc985a0 66bb7d2 3fa3baf 66bb7d2 48afe02 f41e5fe 3fa3baf f41e5fe 48afe02 461052c f41e5fe 3fa3baf |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
from ctransformers import AutoModelForCausalLM
from fastapi import FastAPI
from pydantic import BaseModel
file_name = "gemma-2b.Q2_K.gguf"
llm = AutoModelForCausalLM.from_pretrained(file_name,
model_type='mistral',
max_new_tokens=2_096,
context_length=8_000,
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.'
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) |