Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -2,8 +2,10 @@ import spaces
|
|
2 |
import gradio as gr
|
3 |
import torch
|
4 |
from transformers import pipeline, BitsAndBytesConfig, AutoModelForCausalLM, AutoTokenizer
|
|
|
5 |
|
6 |
MODEL_ID = "unsloth/Meta-Llama-3.1-70B-bnb-4bit"
|
|
|
7 |
|
8 |
bnb_4bit_config = BitsAndBytesConfig(
|
9 |
load_in_4bit=True,
|
@@ -13,13 +15,15 @@ bnb_4bit_config = BitsAndBytesConfig(
|
|
13 |
)
|
14 |
|
15 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
|
16 |
-
|
17 |
MODEL_ID,
|
18 |
device_map="auto",
|
19 |
attn_implementation="flash_attention_2",
|
20 |
quantization_config=bnb_4bit_config,
|
21 |
)
|
22 |
|
|
|
|
|
23 |
pipe = pipeline(
|
24 |
"text-generation",
|
25 |
model=model,
|
|
|
2 |
import gradio as gr
|
3 |
import torch
|
4 |
from transformers import pipeline, BitsAndBytesConfig, AutoModelForCausalLM, AutoTokenizer
|
5 |
+
from peft import PeftModel
|
6 |
|
7 |
MODEL_ID = "unsloth/Meta-Llama-3.1-70B-bnb-4bit"
|
8 |
+
ADAPTER_ID = "marcelbinz/Llama-3.1-Centaur-70B-adapter"
|
9 |
|
10 |
bnb_4bit_config = BitsAndBytesConfig(
|
11 |
load_in_4bit=True,
|
|
|
15 |
)
|
16 |
|
17 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
|
18 |
+
model_base = AutoModelForCausalLM.from_pretrained(
|
19 |
MODEL_ID,
|
20 |
device_map="auto",
|
21 |
attn_implementation="flash_attention_2",
|
22 |
quantization_config=bnb_4bit_config,
|
23 |
)
|
24 |
|
25 |
+
model = PeftModel.from_pretrained(model_base, ADAPTER, device_map="auto")
|
26 |
+
|
27 |
pipe = pipeline(
|
28 |
"text-generation",
|
29 |
model=model,
|