trl@0.7.10

Train transformer language models with reinforcement learning.

2024-01-19 Python >=3.10 wheel sdist

安装 (0.7.10)

pip install trl==0.7.10

poetry add trl==0.7.10

pipenv install trl==0.7.10

conda install trl=0.7.10

依赖 (53)

依赖
`accelerate>=1.4.0`
`datasets>=4.7.0`
`jinja2`
`packaging>20.0`
`transformers>=4.56.2`
`scikit-learn; extra == "bco"`
`joblib; extra == "bco"`
`deepspeed>=0.14.4; extra == "deepspeed"`
`transformers!=5.1.0; extra == "deepspeed"`
`transformers[kernels]; extra == "kernels"`
`transformers[hub-kernels]; extra == "kernels"`
`liger-kernel>=0.8.0; extra == "liger"`
`peft>=0.8.0; extra == "peft"`
`pre-commit; extra == "quality"`
`hf-doc-builder; extra == "quality"`
`bitsandbytes; extra == "quantization"`
`scikit-learn; extra == "scikit"`
`pytest-cov; extra == "test"`
`pytest-datadir>=1.7.0; extra == "test"`
`pytest-rerunfailures==15.1; extra == "test"`
`pytest-xdist; extra == "test"`
`pytest; extra == "test"`
`vllm<=0.19.0,>=0.12.0; extra == "vllm"`
`fastapi; extra == "vllm"`
`pydantic; extra == "vllm"`
`aiohttp>=3.13.3; extra == "vllm"`
`requests; extra == "vllm"`
`uvicorn; extra == "vllm"`
`Pillow; extra == "vlm"`
`torchvision; extra == "vlm"`
`num2words==0.5.14; extra == "vlm"`
`math-verify>=0.5.2; extra == "math-verify"`
`openreward>=0.1.109; python_version >= "3.11" and extra == "openreward"`
`scikit-learn; extra == "dev"`
`joblib; extra == "dev"`
`deepspeed>=0.14.4; extra == "dev"`
`transformers[kernels]; extra == "dev"`
`transformers[hub-kernels]; extra == "dev"`
`liger-kernel>=0.8.0; extra == "dev"`
`openreward>=0.1.109; python_version >= "3.11" and extra == "dev"`
`peft>=0.8.0; extra == "dev"`
`pre-commit; extra == "dev"`
`hf-doc-builder; extra == "dev"`
`bitsandbytes; extra == "dev"`
`pytest-cov; extra == "dev"`
`pytest-datadir>=1.7.0; extra == "dev"`
`pytest-rerunfailures==15.1; extra == "dev"`
`pytest-xdist; extra == "dev"`
`pytest; extra == "dev"`
`Pillow; extra == "dev"`
`torchvision; extra == "dev"`
`num2words==0.5.14; extra == "dev"`
`jmespath; extra == "dev"`

下载文件

文件名	类型	Python 版本	大小
trl-0.7.10-py3-none-any.whl	bdist_wheel	`py3`	150943 bytes
trl-0.7.10.tar.gz	sdist	`source`	126545 bytes

版本列表

1.6.0 2026-06-11

1.5.1 2026-05-27

1.5.0 2026-05-25

1.4.0 2026-05-08

1.3.0 2026-04-26

1.2.0 2026-04-17

1.1.0 2026-04-12

1.0.0 2026-03-30

1.0.0rc1 2026-03-20

0.29.1 2026-03-20

0.29.0 2026-02-25

0.28.0 2026-02-10

0.27.2 2026-02-03

0.27.1 2026-01-24

0.27.0 2026-01-16

0.26.2 2025-12-18

0.26.1 2025-12-12

0.26.0 2025-12-09

0.25.1 2025-11-12

0.25.0 2025-11-05

0.24.0 2025-10-16

0.23.1 2025-10-02

0.23.0 2025-09-10

0.22.2 2025-09-03

0.22.1 2025-08-29

0.22.0 2025-08-29

0.21.0 2025-08-05

0.20.0 2025-07-29

0.19.1 2025-07-08

0.19.0 2025-06-20

0.18.2 2025-06-15

0.18.1 2025-05-29

0.18.0 2025-05-28

0.17.0 2025-04-24

0.16.1 2025-04-04

0.16.0 2025-03-22

0.15.2 2025-02-25

0.15.1 2025-02-18

0.15.0 2025-02-13

0.14.0 2025-01-29

0.13.0 2024-12-16

0.12.2 2024-12-06

0.12.1 2024-11-14

0.12.0 2024-11-01

0.11.4 2024-10-15

0.11.3 2024-10-10

0.11.2 2024-10-07

0.11.1 2024-09-24

0.11.0 2024-09-19

0.10.1 2024-08-29

0.9.6 2024-07-08

0.9.4 2024-06-06

0.9.3 2024-06-05

0.9.2 2024-06-05

0.8.6 2024-04-22

0.8.5 2024-04-18

0.8.4 2024-04-17

0.8.3 2024-04-12

0.8.2 2024-04-11

0.8.1 2024-03-20

0.8.0 2024-03-19

0.7.11 2024-02-16

0.7.10 2024-01-19

0.7.9 2024-01-09

0.7.8 2024-01-09

0.7.7 2023-12-26

0.7.6 2023-12-22

0.7.5 2023-12-22

0.7.4 2023-11-08

0.7.3 2023-11-08

0.7.2 2023-10-12

0.7.1 2023-08-30

0.7.0 2023-08-30

0.6.0 2023-08-24

0.5.0 2023-08-02

0.4.7 2023-07-13

0.4.6 2023-06-23

0.4.5 2023-06-23

0.4.4 2023-06-08

0.4.3 2023-06-08

0.4.2 2023-06-07

0.4.1 2023-03-17

0.4.0 2023-03-09

0.3.1 2023-03-02

0.3.0 2023-03-01

0.2.1 2023-01-25

0.2.0 2023-01-25

0.1.0 2022-05-15

0.0.3 2021-02-28

0.0.2 2020-07-17

0.0.1 2020-03-30

trl@0.7.10

安装 (0.7.10)

依赖 (53)

下载文件

版本列表

相关教程