{
  "info": {
    "subdir": "win-64"
  },
  "packages": {
    "llamafactory-0.9.5-py311haa95532_0.tar.bz2": {
      "build": "py311haa95532_0",
      "build_number": 0,
      "depends": [
        "accelerate >=1.3.0,<=1.15.0",
        "av >=10.0.0,<=16.0.0",
        "datasets >=2.16.0,<=4.0.0",
        "einops",
        "fastapi",
        "fire",
        "gradio >=4.38.0,<=5.50.0",
        "hf-transfer",
        "huggingface_hub",
        "matplotlib-base >=3.7.0",
        "modelscope",
        "numpy",
        "omegaconf",
        "packaging",
        "pandas",
        "peft >=0.18.0,<=0.18.1",
        "protobuf",
        "pydantic",
        "python >=3.11,<3.12.0a0",
        "pytorch >=2.4.0",
        "pyyaml",
        "safetensors",
        "scipy",
        "sentencepiece",
        "sse-starlette",
        "tiktoken",
        "torchaudio >=2.4.0",
        "torchdata >=0.10.0,<=0.11.0",
        "torchvision >=0.19.0",
        "transformers >=4.55.0,<=5.6.0,!=4.52.0,!=4.57.0",
        "trl >=0.18.0,<=0.24.0",
        "uvicorn"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "717c9a06445d988545123846c08bc5e4",
      "name": "llamafactory",
      "sha256": "ebffca18183c357faf7666b927efa884ebc1c821ff18cfdf93f4f401251581c3",
      "size": 1020748,
      "subdir": "win-64",
      "timestamp": 1784150222104,
      "version": "0.9.5"
    },
    "llamafactory-0.9.5-py312haa95532_0.tar.bz2": {
      "build": "py312haa95532_0",
      "build_number": 0,
      "depends": [
        "accelerate >=1.3.0,<=1.15.0",
        "av >=10.0.0,<=16.0.0",
        "datasets >=2.16.0,<=4.0.0",
        "einops",
        "fastapi",
        "fire",
        "gradio >=4.38.0,<=5.50.0",
        "hf-transfer",
        "huggingface_hub",
        "matplotlib-base >=3.7.0",
        "modelscope",
        "numpy",
        "omegaconf",
        "packaging",
        "pandas",
        "peft >=0.18.0,<=0.18.1",
        "protobuf",
        "pydantic",
        "python >=3.12,<3.13.0a0",
        "pytorch >=2.4.0",
        "pyyaml",
        "safetensors",
        "scipy",
        "sentencepiece",
        "sse-starlette",
        "tiktoken",
        "torchaudio >=2.4.0",
        "torchdata >=0.10.0,<=0.11.0",
        "torchvision >=0.19.0",
        "transformers >=4.55.0,<=5.6.0,!=4.52.0,!=4.57.0",
        "trl >=0.18.0,<=0.24.0",
        "uvicorn"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "ff373aaca8da61c0d4e998245b9819a6",
      "name": "llamafactory",
      "sha256": "263dbc0cc4d06210c30765323295b0cde6940f0c452f190a83fb8b802a0d6be9",
      "size": 990424,
      "subdir": "win-64",
      "timestamp": 1784150221895,
      "version": "0.9.5"
    },
    "llamafactory-0.9.5-py313haa95532_0.tar.bz2": {
      "build": "py313haa95532_0",
      "build_number": 0,
      "depends": [
        "accelerate >=1.3.0,<=1.15.0",
        "av >=10.0.0,<=16.0.0",
        "datasets >=2.16.0,<=4.0.0",
        "einops",
        "fastapi",
        "fire",
        "gradio >=4.38.0,<=5.50.0",
        "hf-transfer",
        "huggingface_hub",
        "matplotlib-base >=3.7.0",
        "modelscope",
        "numpy",
        "omegaconf",
        "packaging",
        "pandas",
        "peft >=0.18.0,<=0.18.1",
        "protobuf",
        "pydantic",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "pytorch >=2.4.0",
        "pyyaml",
        "safetensors",
        "scipy",
        "sentencepiece",
        "sse-starlette",
        "tiktoken",
        "torchaudio >=2.4.0",
        "torchdata >=0.10.0,<=0.11.0",
        "torchvision >=0.19.0",
        "transformers >=4.55.0,<=5.6.0,!=4.52.0,!=4.57.0",
        "trl >=0.18.0,<=0.24.0",
        "uvicorn"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "15d420cd2193ac888df41f4b72f5c529",
      "name": "llamafactory",
      "sha256": "abe2337508a3550ad59fdad4abf1f60e71f613207a88c03b26f67dabb48f8003",
      "size": 1000323,
      "subdir": "win-64",
      "timestamp": 1784150221035,
      "version": "0.9.5"
    }
  },
  "packages.conda": {
    "llamafactory-0.9.5-py311haa95532_0.conda": {
      "build": "py311haa95532_0",
      "build_number": 0,
      "depends": [
        "accelerate >=1.3.0,<=1.15.0",
        "av >=10.0.0,<=16.0.0",
        "datasets >=2.16.0,<=4.0.0",
        "einops",
        "fastapi",
        "fire",
        "gradio >=4.38.0,<=5.50.0",
        "hf-transfer",
        "huggingface_hub",
        "matplotlib-base >=3.7.0",
        "modelscope",
        "numpy",
        "omegaconf",
        "packaging",
        "pandas",
        "peft >=0.18.0,<=0.18.1",
        "protobuf",
        "pydantic",
        "python >=3.11,<3.12.0a0",
        "pytorch >=2.4.0",
        "pyyaml",
        "safetensors",
        "scipy",
        "sentencepiece",
        "sse-starlette",
        "tiktoken",
        "torchaudio >=2.4.0",
        "torchdata >=0.10.0,<=0.11.0",
        "torchvision >=0.19.0",
        "transformers >=4.55.0,<=5.6.0,!=4.52.0,!=4.57.0",
        "trl >=0.18.0,<=0.24.0",
        "uvicorn"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "84b7e445dde95c9a02080e7a4095e922",
      "name": "llamafactory",
      "sha256": "822f061de082b97bf964a09d8abeab01d97b0b8ca0d7dfbaeef089231aab53d6",
      "size": 889657,
      "subdir": "win-64",
      "timestamp": 1784150222104,
      "version": "0.9.5"
    },
    "llamafactory-0.9.5-py312haa95532_0.conda": {
      "build": "py312haa95532_0",
      "build_number": 0,
      "depends": [
        "accelerate >=1.3.0,<=1.15.0",
        "av >=10.0.0,<=16.0.0",
        "datasets >=2.16.0,<=4.0.0",
        "einops",
        "fastapi",
        "fire",
        "gradio >=4.38.0,<=5.50.0",
        "hf-transfer",
        "huggingface_hub",
        "matplotlib-base >=3.7.0",
        "modelscope",
        "numpy",
        "omegaconf",
        "packaging",
        "pandas",
        "peft >=0.18.0,<=0.18.1",
        "protobuf",
        "pydantic",
        "python >=3.12,<3.13.0a0",
        "pytorch >=2.4.0",
        "pyyaml",
        "safetensors",
        "scipy",
        "sentencepiece",
        "sse-starlette",
        "tiktoken",
        "torchaudio >=2.4.0",
        "torchdata >=0.10.0,<=0.11.0",
        "torchvision >=0.19.0",
        "transformers >=4.55.0,<=5.6.0,!=4.52.0,!=4.57.0",
        "trl >=0.18.0,<=0.24.0",
        "uvicorn"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "964df45f014a4d99c8610f811e987ebb",
      "name": "llamafactory",
      "sha256": "11b08a69cf5370805e30effcd3df72fe734bd1f63d8c5897b02caa4c09ec3f7f",
      "size": 863906,
      "subdir": "win-64",
      "timestamp": 1784150221895,
      "version": "0.9.5"
    },
    "llamafactory-0.9.5-py313haa95532_0.conda": {
      "build": "py313haa95532_0",
      "build_number": 0,
      "depends": [
        "accelerate >=1.3.0,<=1.15.0",
        "av >=10.0.0,<=16.0.0",
        "datasets >=2.16.0,<=4.0.0",
        "einops",
        "fastapi",
        "fire",
        "gradio >=4.38.0,<=5.50.0",
        "hf-transfer",
        "huggingface_hub",
        "matplotlib-base >=3.7.0",
        "modelscope",
        "numpy",
        "omegaconf",
        "packaging",
        "pandas",
        "peft >=0.18.0,<=0.18.1",
        "protobuf",
        "pydantic",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "pytorch >=2.4.0",
        "pyyaml",
        "safetensors",
        "scipy",
        "sentencepiece",
        "sse-starlette",
        "tiktoken",
        "torchaudio >=2.4.0",
        "torchdata >=0.10.0,<=0.11.0",
        "torchvision >=0.19.0",
        "transformers >=4.55.0,<=5.6.0,!=4.52.0,!=4.57.0",
        "trl >=0.18.0,<=0.24.0",
        "uvicorn"
      ],
      "license": "Apache-2.0",
      "license_family": "APACHE",
      "md5": "bb30c3ffaf1d8ec91158d56440d8b94c",
      "name": "llamafactory",
      "sha256": "d06b1d9858efdde6f9f788a4fd92a901b80b5cb0ecb3f1f9114a4f42e8c3afd2",
      "size": 871051,
      "subdir": "win-64",
      "timestamp": 1784150221035,
      "version": "0.9.5"
    }
  },
  "removed": [],
  "repodata_version": 1
}