Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -1,21 +1,21 @@
|
|
1 |
from huggingface_hub import InferenceClient
|
2 |
import gradio as gr
|
3 |
-
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, AutoModel
|
4 |
from peft import PeftModel
|
5 |
import torch
|
6 |
# load base model
|
7 |
base_model = "mistralai/Mistral-7B-Instruct-v0.1"
|
8 |
|
9 |
-
bnb_config = BitsAndBytesConfig(
|
10 |
-
load_in_4bit= True,
|
11 |
-
bnb_4bit_quant_type= "nf4",
|
12 |
-
bnb_4bit_compute_dtype= torch.bfloat16,
|
13 |
-
bnb_4bit_use_double_quant= False,
|
14 |
-
)
|
15 |
|
16 |
model = AutoModelForCausalLM.from_pretrained(
|
17 |
base_model,
|
18 |
-
quantization_config=bnb_config,
|
19 |
torch_dtype=torch.bfloat16,
|
20 |
device_map="auto",
|
21 |
trust_remote_code=True,
|
|
|
1 |
from huggingface_hub import InferenceClient
|
2 |
import gradio as gr
|
3 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, AutoModel
|
4 |
from peft import PeftModel
|
5 |
import torch
|
6 |
# load base model
|
7 |
base_model = "mistralai/Mistral-7B-Instruct-v0.1"
|
8 |
|
9 |
+
#bnb_config = BitsAndBytesConfig(
|
10 |
+
# load_in_4bit= True,
|
11 |
+
# bnb_4bit_quant_type= "nf4",
|
12 |
+
# bnb_4bit_compute_dtype= torch.bfloat16,
|
13 |
+
# bnb_4bit_use_double_quant= False,
|
14 |
+
#)
|
15 |
|
16 |
model = AutoModelForCausalLM.from_pretrained(
|
17 |
base_model,
|
18 |
+
# quantization_config=bnb_config,
|
19 |
torch_dtype=torch.bfloat16,
|
20 |
device_map="auto",
|
21 |
trust_remote_code=True,
|