File size: 1,051 Bytes
b62c338 | 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 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | import json
import torch
import random
from transformers import AutoTokenizer, AutoModelForCausalLM
MODEL = "./v2"
OUTPUT = "pairwise.jsonl"
model = AutoModelForCausalLM.from_pretrained(
MODEL,
device_map="auto",
torch_dtype=torch.float16
)
tokenizer = AutoTokenizer.from_pretrained(MODEL)
PROMPTS = [
"LRU 캐시 구현",
"다익스트라 알고리즘 설명",
"FastAPI 서버 설계",
"Redis 캐시 구조 설명"
]
def generate(prompt):
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
out = model.generate(
**inputs,
max_new_tokens=300,
do_sample=True,
temperature=0.8
)
return tokenizer.decode(out[0], skip_special_tokens=True)
data = []
for p in PROMPTS:
a = generate(p)
b = generate(p)
data.append({
"prompt": p,
"chosen": a,
"rejected": b
})
with open(OUTPUT, "w", encoding="utf-8") as f:
for d in data:
f.write(json.dumps(d, ensure_ascii=False) + "\n")
print("[DONE] pairwise dataset")
|