mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-12-14 10:56:56 +08:00
@@ -23,9 +23,9 @@ from llamafactory.extras.constants import IGNORE_INDEX
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from llamafactory.train.test_utils import load_train_dataset
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DEMO_DATA = os.environ.get("DEMO_DATA", "llamafactory/demo_data")
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DEMO_DATA = os.getenv("DEMO_DATA", "llamafactory/demo_data")
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TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TINY_LLAMA = os.getenv("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TRAIN_ARGS = {
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"model_name_or_path": TINY_LLAMA,
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@@ -24,9 +24,9 @@ from llamafactory.extras.constants import IGNORE_INDEX
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from llamafactory.train.test_utils import load_train_dataset
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DEMO_DATA = os.environ.get("DEMO_DATA", "llamafactory/demo_data")
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DEMO_DATA = os.getenv("DEMO_DATA", "llamafactory/demo_data")
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TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TINY_LLAMA = os.getenv("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TRAIN_ARGS = {
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"model_name_or_path": TINY_LLAMA,
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@@ -23,11 +23,11 @@ from llamafactory.extras.constants import IGNORE_INDEX
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from llamafactory.train.test_utils import load_train_dataset
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DEMO_DATA = os.environ.get("DEMO_DATA", "llamafactory/demo_data")
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DEMO_DATA = os.getenv("DEMO_DATA", "llamafactory/demo_data")
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TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TINY_LLAMA = os.getenv("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TINY_DATA = os.environ.get("TINY_DATA", "llamafactory/tiny-supervised-dataset")
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TINY_DATA = os.getenv("TINY_DATA", "llamafactory/tiny-supervised-dataset")
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TRAIN_ARGS = {
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"model_name_or_path": TINY_LLAMA,
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@@ -22,11 +22,11 @@ from transformers import AutoTokenizer
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from llamafactory.train.test_utils import load_train_dataset
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DEMO_DATA = os.environ.get("DEMO_DATA", "llamafactory/demo_data")
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DEMO_DATA = os.getenv("DEMO_DATA", "llamafactory/demo_data")
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TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TINY_LLAMA = os.getenv("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TINY_DATA = os.environ.get("TINY_DATA", "llamafactory/tiny-supervised-dataset")
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TINY_DATA = os.getenv("TINY_DATA", "llamafactory/tiny-supervised-dataset")
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TRAIN_ARGS = {
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"model_name_or_path": TINY_LLAMA,
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@@ -31,9 +31,9 @@ if TYPE_CHECKING:
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from llamafactory.data.mm_plugin import BasePlugin
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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HF_TOKEN = os.getenv("HF_TOKEN")
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TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TINY_LLAMA = os.getenv("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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MM_MESSAGES = [
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{"role": "user", "content": "<image>What is in this image?"},
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@@ -27,9 +27,9 @@ if TYPE_CHECKING:
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from transformers import PreTrainedTokenizer
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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HF_TOKEN = os.getenv("HF_TOKEN")
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TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TINY_LLAMA = os.getenv("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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MESSAGES = [
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{"role": "user", "content": "How are you"},
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