Update app.py
Browse files
app.py
CHANGED
@@ -1,10 +1,14 @@
|
|
1 |
import gradio as gr
|
2 |
-
from transformers import AutoTokenizer, GPTJForCausalLM
|
3 |
import torch
|
4 |
|
5 |
model_name = "rycont/kakaobrain__kogpt-6b-8bit"
|
|
|
|
|
|
|
|
|
6 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
7 |
-
model = GPTJForCausalLM.from_pretrained(model_name, device_map="auto",
|
8 |
|
9 |
def generate_response(prompt):
|
10 |
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
|
|
|
1 |
import gradio as gr
|
2 |
+
from transformers import AutoTokenizer, GPTJForCausalLM, BitsAndBytesConfig
|
3 |
import torch
|
4 |
|
5 |
model_name = "rycont/kakaobrain__kogpt-6b-8bit"
|
6 |
+
|
7 |
+
# BitsAndBytesConfig 설정
|
8 |
+
bnb_config = BitsAndBytesConfig(load_in_8bit=True)
|
9 |
+
|
10 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
11 |
+
model = GPTJForCausalLM.from_pretrained(model_name, device_map="auto", quantization_config=bnb_config)
|
12 |
|
13 |
def generate_response(prompt):
|
14 |
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
|