rename package

Dockerfile

@@ -6,7 +6,7 @@ COPY requirements.txt /app/
 RUN pip install -r requirements.txt
 
 COPY . /app/
-RUN pip install -e .[deepspeed,metrics,bitsandbytes,qwen]
+RUN pip install -e .[metrics,bitsandbytes,qwen]
 
 VOLUME [ "/root/.cache/huggingface/", "/app/data", "/app/output" ]
 EXPOSE 7860

README.md

@@ -3,8 +3,7 @@
 [![GitHub Repo stars](https://img.shields.io/github/stars/hiyouga/LLaMA-Factory?style=social)](https://github.com/hiyouga/LLaMA-Factory/stargazers)
 [![GitHub Code License](https://img.shields.io/github/license/hiyouga/LLaMA-Factory)](LICENSE)
 [![GitHub last commit](https://img.shields.io/github/last-commit/hiyouga/LLaMA-Factory)](https://github.com/hiyouga/LLaMA-Factory/commits/main)
-[![PyPI](https://img.shields.io/pypi/v/llmtuner)](https://pypi.org/project/llmtuner/)
-[![Downloads](https://static.pepy.tech/badge/llmtuner)](https://pypi.org/project/llmtuner/)
+[![PyPI](https://img.shields.io/pypi/v/llamafactory)](https://pypi.org/project/llamafactory/)
 [![Citation](https://img.shields.io/badge/citation-44-green)](#projects-using-llama-factory)
 [![GitHub pull request](https://img.shields.io/badge/PRs-welcome-blue)](https://github.com/hiyouga/LLaMA-Factory/pulls)
 [![Discord](https://dcbadge.vercel.app/api/server/rKfvV9r9FK?compact=true&style=flat)](https://discord.gg/rKfvV9r9FK)
@@ -176,9 +175,9 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
 >
 > Remember to use the **SAME** template in training and inference.
 
-Please refer to [constants.py](src/llmtuner/extras/constants.py) for a full list of models we supported.
+Please refer to [constants.py](src/llamafactory/extras/constants.py) for a full list of models we supported.
 
-You also can add a custom chat template to [template.py](src/llmtuner/data/template.py).
+You also can add a custom chat template to [template.py](src/llamafactory/data/template.py).
 
 ## Supported Training Approaches
 

README_zh.md

@@ -3,8 +3,7 @@
 [![GitHub Repo stars](https://img.shields.io/github/stars/hiyouga/LLaMA-Factory?style=social)](https://github.com/hiyouga/LLaMA-Factory/stargazers)
 [![GitHub Code License](https://img.shields.io/github/license/hiyouga/LLaMA-Factory)](LICENSE)
 [![GitHub last commit](https://img.shields.io/github/last-commit/hiyouga/LLaMA-Factory)](https://github.com/hiyouga/LLaMA-Factory/commits/main)
-[![PyPI](https://img.shields.io/pypi/v/llmtuner)](https://pypi.org/project/llmtuner/)
-[![Downloads](https://static.pepy.tech/badge/llmtuner)](https://pypi.org/project/llmtuner/)
+[![PyPI](https://img.shields.io/pypi/v/llamafactory)](https://pypi.org/project/llamafactory/)
 [![Citation](https://img.shields.io/badge/citation-44-green)](#使用了-llama-factory-的项目)
 [![GitHub pull request](https://img.shields.io/badge/PRs-welcome-blue)](https://github.com/hiyouga/LLaMA-Factory/pulls)
 [![Discord](https://dcbadge.vercel.app/api/server/rKfvV9r9FK?compact=true&style=flat)](https://discord.gg/rKfvV9r9FK)
@@ -176,9 +175,9 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/ec36a9dd-37f4-4f72-81bd
 >
 > 请务必在训练和推理时使用**完全一致**的模板。
 
-项目所支持模型的完整列表请参阅 [constants.py](src/llmtuner/extras/constants.py)。
+项目所支持模型的完整列表请参阅 [constants.py](src/llamafactory/extras/constants.py)。
 
-您也可以在 [template.py](src/llmtuner/data/template.py) 中添加自己的对话模板。
+您也可以在 [template.py](src/llamafactory/data/template.py) 中添加自己的对话模板。
 
 ## 训练方法
 

pyproject.toml

@@ -13,7 +13,7 @@ select = ["C", "E", "F", "I", "W"]
 
 [tool.ruff.lint.isort]
 lines-after-imports = 2
-known-first-party = ["llmtuner"]
+known-first-party = ["llamafactory"]
 known-third-party = [
     "accelerate",
     "datasets",

scripts/cal_flops.py

@@ -8,7 +8,7 @@ import torch
 from deepspeed.accelerator import get_accelerator  # type: ignore
 from deepspeed.profiling.flops_profiler import get_model_profile  # type: ignore
 
-from llmtuner.chat import ChatModel
+from llamafactory.chat import ChatModel
 
 
 def calculate_flops(

scripts/cal_lr.py

@@ -12,10 +12,10 @@ from torch.utils.data import DataLoader
 from tqdm import tqdm
 from transformers import DataCollatorForLanguageModeling, DataCollatorForSeq2Seq
 
-from llmtuner.data import get_dataset
-from llmtuner.extras.constants import IGNORE_INDEX
-from llmtuner.hparams import get_train_args
-from llmtuner.model import load_tokenizer
+from llamafactory.data import get_dataset
+from llamafactory.extras.constants import IGNORE_INDEX
+from llamafactory.hparams import get_train_args
+from llamafactory.model import load_tokenizer
 
 
 BASE_LR = 3e-4  # 1.5e-4 for 30B-70B models

scripts/cal_ppl.py

@@ -12,10 +12,10 @@ from torch.utils.data import DataLoader
 from tqdm import tqdm
 from transformers import DataCollatorForLanguageModeling, DataCollatorForSeq2Seq
 
-from llmtuner.data import get_dataset
-from llmtuner.extras.constants import IGNORE_INDEX
-from llmtuner.hparams import get_train_args
-from llmtuner.model import load_model, load_tokenizer
+from llamafactory.data import get_dataset
+from llamafactory.extras.constants import IGNORE_INDEX
+from llamafactory.hparams import get_train_args
+from llamafactory.model import load_model, load_tokenizer
 
 
 @dataclass

scripts/length_cdf.py

@@ -7,9 +7,9 @@ from collections import defaultdict
 import fire
 from tqdm import tqdm
 
-from llmtuner.data import get_dataset
-from llmtuner.hparams import get_train_args
-from llmtuner.model import load_tokenizer
+from llamafactory.data import get_dataset
+from llamafactory.hparams import get_train_args
+from llamafactory.model import load_tokenizer
 
 
 def length_cdf(

setup.py

@@ -5,7 +5,7 @@ from setuptools import find_packages, setup
 
 
 def get_version():
-    with open(os.path.join("src", "llmtuner", "cli.py"), "r", encoding="utf-8") as f:
+    with open(os.path.join("src", "llamafactory", "cli.py"), "r", encoding="utf-8") as f:
         file_content = f.read()
         pattern = r"{}\W*=\W*\"([^\"]+)\"".format("VERSION")
         (version,) = re.findall(pattern, file_content)
@@ -38,7 +38,7 @@ extra_require = {
 
 def main():
     setup(
-        name="llmtuner",
+        name="llamafactory",
         version=get_version(),
         author="hiyouga",
         author_email="hiyouga" "@" "buaa.edu.cn",
@@ -53,7 +53,7 @@ def main():
         python_requires=">=3.8.0",
         install_requires=get_requires(),
         extras_require=extra_require,
-        entry_points={"console_scripts": ["llamafactory-cli = llmtuner.cli:main"]},
+        entry_points={"console_scripts": ["llamafactory-cli = llamafactory.cli:main"]},
         classifiers=[
             "Development Status :: 4 - Beta",
             "Intended Audience :: Developers",

src/api.py

@@ -2,8 +2,8 @@ import os
 
 import uvicorn
 
-from llmtuner.api.app import create_app
-from llmtuner.chat import ChatModel
+from llamafactory.api.app import create_app
+from llamafactory.chat import ChatModel
 
 
 def main():

src/llamafactory/data/parser.py

@@ -32,6 +32,8 @@ class DatasetAttr:
     prompt: Optional[str] = "instruction"
     query: Optional[str] = "input"
     response: Optional[str] = "output"
+    chosen: Optional[str] = "chosen"
+    rejected: Optional[str] = "rejected"
     history: Optional[str] = None
     """ columns for the sharegpt format """
     messages: Optional[str] = "conversations"

src/llamafactory/data/utils.py

@@ -10,7 +10,7 @@ if TYPE_CHECKING:
     from datasets import Dataset, IterableDataset
     from transformers import Seq2SeqTrainingArguments
 
-    from llmtuner.hparams import DataArguments
+    from ..hparams import DataArguments
 
 
 logger = get_logger(__name__)

src/llamafactory/extras/misc.py

@@ -30,7 +30,7 @@ except Exception:
 if TYPE_CHECKING:
     from trl import AutoModelForCausalLMWithValueHead
 
-    from llmtuner.hparams import ModelArguments
+    from ..hparams import ModelArguments
 
 
 logger = get_logger(__name__)