forked from p04798526/LLaMA-Factory-Mirror
rename package
This commit is contained in:
hiyouga
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b2fc7aeb03
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308edbc426
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@ -6,7 +6,7 @@ COPY requirements.txt /app/
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RUN pip install -r requirements.txt
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COPY . /app/
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RUN pip install -e .[deepspeed,metrics,bitsandbytes,qwen]
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RUN pip install -e .[metrics,bitsandbytes,qwen]
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VOLUME [ "/root/.cache/huggingface/", "/app/data", "/app/output" ]
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EXPOSE 7860
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@ -3,8 +3,7 @@
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[](https://github.com/hiyouga/LLaMA-Factory/stargazers)
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[](LICENSE)
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[](https://github.com/hiyouga/LLaMA-Factory/commits/main)
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[](https://pypi.org/project/llmtuner/)
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[](https://pypi.org/project/llmtuner/)
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[](https://pypi.org/project/llamafactory/)
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[](#projects-using-llama-factory)
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[](https://github.com/hiyouga/LLaMA-Factory/pulls)
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[](https://discord.gg/rKfvV9r9FK)
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@ -176,9 +175,9 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
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>
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> Remember to use the **SAME** template in training and inference.
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Please refer to [constants.py](src/llmtuner/extras/constants.py) for a full list of models we supported.
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Please refer to [constants.py](src/llamafactory/extras/constants.py) for a full list of models we supported.
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You also can add a custom chat template to [template.py](src/llmtuner/data/template.py).
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You also can add a custom chat template to [template.py](src/llamafactory/data/template.py).
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## Supported Training Approaches
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@ -3,8 +3,7 @@
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[](https://github.com/hiyouga/LLaMA-Factory/stargazers)
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[](LICENSE)
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[](https://github.com/hiyouga/LLaMA-Factory/commits/main)
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[](https://pypi.org/project/llmtuner/)
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[](https://pypi.org/project/llmtuner/)
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[](https://pypi.org/project/llamafactory/)
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[](#使用了-llama-factory-的项目)
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[](https://github.com/hiyouga/LLaMA-Factory/pulls)
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[](https://discord.gg/rKfvV9r9FK)
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@ -176,9 +175,9 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/ec36a9dd-37f4-4f72-81bd
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>
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> 请务必在训练和推理时使用**完全一致**的模板。
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项目所支持模型的完整列表请参阅 [constants.py](src/llmtuner/extras/constants.py)。
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项目所支持模型的完整列表请参阅 [constants.py](src/llamafactory/extras/constants.py)。
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您也可以在 [template.py](src/llmtuner/data/template.py) 中添加自己的对话模板。
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您也可以在 [template.py](src/llamafactory/data/template.py) 中添加自己的对话模板。
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## 训练方法
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@ -13,7 +13,7 @@ select = ["C", "E", "F", "I", "W"]
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[tool.ruff.lint.isort]
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lines-after-imports = 2
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known-first-party = ["llmtuner"]
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known-first-party = ["llamafactory"]
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known-third-party = [
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"accelerate",
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"datasets",
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@ -8,7 +8,7 @@ import torch
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from deepspeed.accelerator import get_accelerator # type: ignore
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from deepspeed.profiling.flops_profiler import get_model_profile # type: ignore
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from llmtuner.chat import ChatModel
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from llamafactory.chat import ChatModel
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def calculate_flops(
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@ -12,10 +12,10 @@ from torch.utils.data import DataLoader
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from tqdm import tqdm
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from transformers import DataCollatorForLanguageModeling, DataCollatorForSeq2Seq
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from llmtuner.data import get_dataset
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from llmtuner.extras.constants import IGNORE_INDEX
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from llmtuner.hparams import get_train_args
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from llmtuner.model import load_tokenizer
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from llamafactory.data import get_dataset
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from llamafactory.extras.constants import IGNORE_INDEX
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from llamafactory.hparams import get_train_args
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from llamafactory.model import load_tokenizer
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BASE_LR = 3e-4 # 1.5e-4 for 30B-70B models
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@ -12,10 +12,10 @@ from torch.utils.data import DataLoader
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from tqdm import tqdm
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from transformers import DataCollatorForLanguageModeling, DataCollatorForSeq2Seq
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from llmtuner.data import get_dataset
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from llmtuner.extras.constants import IGNORE_INDEX
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from llmtuner.hparams import get_train_args
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from llmtuner.model import load_model, load_tokenizer
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from llamafactory.data import get_dataset
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from llamafactory.extras.constants import IGNORE_INDEX
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from llamafactory.hparams import get_train_args
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from llamafactory.model import load_model, load_tokenizer
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@dataclass
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@ -7,9 +7,9 @@ from collections import defaultdict
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import fire
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from tqdm import tqdm
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from llmtuner.data import get_dataset
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from llmtuner.hparams import get_train_args
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from llmtuner.model import load_tokenizer
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from llamafactory.data import get_dataset
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from llamafactory.hparams import get_train_args
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from llamafactory.model import load_tokenizer
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def length_cdf(
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6
setup.py
6
setup.py
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@ -5,7 +5,7 @@ from setuptools import find_packages, setup
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def get_version():
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with open(os.path.join("src", "llmtuner", "cli.py"), "r", encoding="utf-8") as f:
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with open(os.path.join("src", "llamafactory", "cli.py"), "r", encoding="utf-8") as f:
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file_content = f.read()
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pattern = r"{}\W*=\W*\"([^\"]+)\"".format("VERSION")
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(version,) = re.findall(pattern, file_content)
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@ -38,7 +38,7 @@ extra_require = {
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def main():
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setup(
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name="llmtuner",
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name="llamafactory",
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version=get_version(),
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author="hiyouga",
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author_email="hiyouga" "@" "buaa.edu.cn",
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@ -53,7 +53,7 @@ def main():
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python_requires=">=3.8.0",
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install_requires=get_requires(),
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extras_require=extra_require,
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entry_points={"console_scripts": ["llamafactory-cli = llmtuner.cli:main"]},
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entry_points={"console_scripts": ["llamafactory-cli = llamafactory.cli:main"]},
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classifiers=[
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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@ -2,8 +2,8 @@ import os
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import uvicorn
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from llmtuner.api.app import create_app
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from llmtuner.chat import ChatModel
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from llamafactory.api.app import create_app
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from llamafactory.chat import ChatModel
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def main():
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@ -32,6 +32,8 @@ class DatasetAttr:
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prompt: Optional[str] = "instruction"
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query: Optional[str] = "input"
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response: Optional[str] = "output"
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chosen: Optional[str] = "chosen"
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rejected: Optional[str] = "rejected"
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history: Optional[str] = None
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""" columns for the sharegpt format """
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messages: Optional[str] = "conversations"
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@ -10,7 +10,7 @@ if TYPE_CHECKING:
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from datasets import Dataset, IterableDataset
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from transformers import Seq2SeqTrainingArguments
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from llmtuner.hparams import DataArguments
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from ..hparams import DataArguments
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logger = get_logger(__name__)
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@ -30,7 +30,7 @@ except Exception:
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if TYPE_CHECKING:
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from trl import AutoModelForCausalLMWithValueHead
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from llmtuner.hparams import ModelArguments
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from ..hparams import ModelArguments
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logger = get_logger(__name__)
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