# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
#
msgid ""
msgstr ""
"Project-Id-Version:  Xinference\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2026-07-17 17:20+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: ko\n"
"Language-Team: ko <LL@li.org>\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.17.0\n"

#: ../../source/getting_started/installation.rst:5
msgid "Installation"
msgstr "설치"

#: ../../source/getting_started/installation.rst:6
msgid ""
"Xinference can be installed with ``pip`` on Linux, Windows, and macOS. To"
" run models using Xinference, you will need to install the backend "
"corresponding to the type of model you intend to serve."
msgstr ""
"Xinference는 Linux, Windows, MacOS에서 ``pip``를 통해 설치할 수 있습니다. 모델 추론에 "
"Xinference를 사용해야 하는 경우, 모델에 따라 다른 엔진을 지정할 수 있습니다."

#: ../../source/getting_started/installation.rst:8
msgid ""
"If you aim to serve all supported models, you can install all the "
"necessary dependencies with a single command::"
msgstr "모든 지원되는 모델을 추론할 수 있기를 원한다면 다음 명령을 사용하여 필요한 모든 종속성을 설치할 수 있습니다::"

#: ../../source/getting_started/installation.rst:14
msgid ""
"Due to irreconcilable package dependency conflicts between vLLM and "
"sglang, we have removed sglang from the all extra. If you want to use "
"sglang, please install it separately via ``pip install "
"'xinference[sglang]'``."
msgstr ""
"vllm과 sglang이 패키지 의존성에서 충돌하기 때문에, 우리는 all에서 sglang을 제거했습니다. sglang을 사용하려면"
" ``pip install 'xinference[sglang]'`` 를 사용하세요."

#: ../../source/getting_started/installation.rst:17
msgid "Several usage scenarios require special attention."
msgstr "일부 사용 시나리오에서는 특별히 주의가 필요합니다."

#: ../../source/getting_started/installation.rst:19
msgid "**GGUF format** with **llama.cpp engine**"
msgstr "**GGUF 포맷**은 **llama.cpp 엔진**과 함께 사용됩니다."

#: ../../source/getting_started/installation.rst:21
msgid ""
"In this situation, it's advised to install its dependencies manually "
"based on your hardware specifications to enable acceleration. For more "
"details, see the :ref:`installation_gguf` section."
msgstr ""
"이 경우, 하드웨어 사양에 따라 수동으로 종속성을 설치하여 가속을 활성화하는 것이 좋습니다. 자세한 내용은 "
":ref:`installation_gguf` 섹션을 참조하십시오."

#: ../../source/getting_started/installation.rst:23
msgid "**AWQ or GPTQ** format with **transformers engine**"
msgstr "**AWQ 또는 GPTQ 형식**을 **transformers 엔진**과 함께 사용"

#: ../../source/getting_started/installation.rst:25
msgid "**This section is added in v1.6.0.**"
msgstr "**본 섹션의 내용은 v1.6.0에서 추가되었습니다.**"

#: ../../source/getting_started/installation.rst:27
msgid ""
"This is because the dependencies at this stage require special options "
"and are difficult to install. Please run command below in advance"
msgstr "이는 이 단계의 종속 항목에 특별한 옵션이 필요하고 설치가 비교적 어렵기 때문입니다. 다음 명령을 미리 실행하십시오."

#: ../../source/getting_started/installation.rst:33
msgid ""
"Some dependencies like ``transformers`` might be downgraded, you can run "
"``pip install \"xinference[all]\"`` afterwards."
msgstr ""
"일부 종속성(예: ``transformers``)이 다운그레이드될 수 있으며, 이후에 ``pip install "
"\"xinference[all]\"``을 실행할 수 있습니다."

#: ../../source/getting_started/installation.rst:36
msgid ""
"If you want to install only the necessary backends, here's a breakdown of"
" how to do it."
msgstr "필요한 의존성만 설치하려면, 다음은 이를 수행하는 방법에 대한 자세한 단계입니다."

#: ../../source/getting_started/installation.rst:41
msgid "Transformers Backend"
msgstr "Transformers 엔진"

#: ../../source/getting_started/installation.rst:42
msgid ""
"PyTorch (transformers) supports the inference of most state-of-art "
"models. It is the default backend for models in PyTorch format::"
msgstr ""
"PyTorch(transformers) 엔진은 거의 모든 최신 모델을 지원하며, 이는 Pytorch 모델이 기본적으로 사용하는 "
"엔진입니다::"

#: ../../source/getting_started/installation.rst:46
msgid "Notes:"
msgstr "주의:"

#: ../../source/getting_started/installation.rst:48
msgid ""
"The transformers engine supports ``pytorch`` / ``gptq`` / ``awq`` / "
"``bnb`` / ``fp4`` formats."
msgstr ""
"Transformers 엔진은 ``pytorch`` / ``gptq`` / ``awq`` / ``bnb`` / ``fp4`` 형식을"
" 지원합니다."

#: ../../source/getting_started/installation.rst:49
msgid ""
"FP4 format requires ``transformers`` with ``FPQuantConfig`` support. If "
"you see an import error, please upgrade ``transformers`` to a newer "
"version."
msgstr ""
"FP4 형식은 FPQuantConfig를 지원하는 transformers 라이브러리가 필요합니다. 임포트 오류가 발생할 경우 "
"transformers를 최신 버전으로 업그레이드하세요."

#: ../../source/getting_started/installation.rst:54
msgid "vLLM Backend"
msgstr "vLLM Engine"

#: ../../source/getting_started/installation.rst:55
msgid ""
"vLLM is a fast and easy-to-use library for LLM inference and serving. "
"Xinference will choose vLLM as the backend to achieve better throughput "
"when the following conditions are met:"
msgstr ""
"vLLM은 높은 동시성을 지원하는 고성능 대규모 모델 추론 엔진입니다. 다음 조건을 충족할 때 Xinference는 자동으로 "
"vllm을 엔진으로 선택하여 더 높은 처리량을 달성합니다:"

#: ../../source/getting_started/installation.rst:57
msgid ""
"The model format is ``pytorch``, ``gptq``, ``awq``, ``fp4``, ``fp8`` or "
"``bnb``."
msgstr "모델 포맷은 ``pytorch``, ``gptq``, ``awq``, ``fp4``, ``fp8`` 또는 ``bnb``입니다."

#: ../../source/getting_started/installation.rst:58
msgid "When the model format is ``pytorch``, the quantization is ``none``."
msgstr "모델 형식이 ``pytorch`` 일 경우, 양자화 옵션은 ``none`` 이어야 합니다."

#: ../../source/getting_started/installation.rst:59
msgid "When the model format is ``awq``, the quantization is ``Int4``."
msgstr "모델 형식이 ``awq``인 경우, 양자화 옵션은 ``Int4``여야 합니다."

#: ../../source/getting_started/installation.rst:60
msgid ""
"When the model format is ``gptq``, the quantization is ``Int3``, ``Int4``"
" or ``Int8``."
msgstr "모델 형식이 ``gptq``인 경우, 양자화 옵션은 ``Int3``, ``Int4`` 또는 ``Int8``이어야 합니다."

#: ../../source/getting_started/installation.rst:61
msgid "The system is Linux and has at least one CUDA device"
msgstr "Linux 운영 체제이며 최소 하나의 CUDA 지원 장치가 있어야 합니다"

#: ../../source/getting_started/installation.rst:62
msgid ""
"The model family (for custom models) / model name (for builtin models) is"
" within the list of models supported by vLLM"
msgstr ""
"사용자 정의 모델의 ``model_family`` 필드와 내장 모델의 ``model_name`` 필드가 vLLM 지원 목록에 "
"있습니다."

#: ../../source/getting_started/installation.rst:64
msgid "Currently, supported models include:"
msgstr "현재 지원되는 모델은 다음과 같습니다:"

#: ../../source/getting_started/installation.rst:68
msgid ""
"``code-llama``, ``code-llama-instruct``, ``code-llama-python``, "
"``deepseek``, ``deepseek-chat``, ``deepseek-coder``, ``deepseek-coder-"
"instruct``, ``deepseek-r1-distill-llama``, ``gorilla-openfunctions-v2``, "
"``HuatuoGPT-o1-LLaMA-3.1``, ``llama-2``, ``llama-2-chat``, ``llama-3``, "
"``llama-3-instruct``, ``llama-3.1``, ``llama-3.1-instruct``, "
"``llama-3.3-instruct``, ``minicpm5-1b``, ``tiny-llama``, ``wizardcoder-"
"python-v1.0``, ``wizardmath-v1.0``, ``Yi``, ``Yi-1.5``, ``Yi-1.5-chat``, "
"``Yi-1.5-chat-16k``, ``Yi-200k``, ``Yi-chat``"
msgstr ""

#: ../../source/getting_started/installation.rst:69
msgid ""
"``codestral-v0.1``, ``mistral-instruct-v0.1``, ``mistral-instruct-v0.2``,"
" ``mistral-instruct-v0.3``, ``mistral-large-instruct``, ``mistral-nemo-"
"instruct``, ``mistral-v0.1``, ``openhermes-2.5``, ``seallm_v2``"
msgstr ""

#: ../../source/getting_started/installation.rst:70
msgid ""
"``Baichuan-M2``, ``codeqwen1.5``, ``codeqwen1.5-chat``, ``deepseek-r1"
"-distill-qwen``, ``DianJin-R1``, ``fin-r1``, ``HuatuoGPT-o1-Qwen2.5``, "
"``KAT-V1``, ``marco-o1``, ``qwen1.5-chat``, ``qwen2-instruct``, "
"``qwen2.5``, ``qwen2.5-coder``, ``qwen2.5-coder-instruct``, "
"``qwen2.5-instruct``, ``qwen2.5-instruct-1m``, ``qwenLong-l1``, ``QwQ-"
"32B``, ``QwQ-32B-Preview``, ``seallms-v3``, ``skywork-or1``, ``skywork-"
"or1-preview``, ``vibethinker``, ``XiYanSQL-QwenCoder-2504``"
msgstr ""

#: ../../source/getting_started/installation.rst:71
msgid "``llama-3.2-vision``, ``llama-3.2-vision-instruct``"
msgstr ""

#: ../../source/getting_started/installation.rst:72
msgid "``baichuan-2``, ``baichuan-2-chat``"
msgstr ""

#: ../../source/getting_started/installation.rst:73
msgid "``InternLM2ForCausalLM``"
msgstr ""

#: ../../source/getting_started/installation.rst:74
msgid "``qwen-chat``"
msgstr ""

#: ../../source/getting_started/installation.rst:75
msgid ""
"``mixtral-8x22B-instruct-v0.1``, ``mixtral-instruct-v0.1``, "
"``mixtral-v0.1``"
msgstr ""

#: ../../source/getting_started/installation.rst:76
msgid "``cogagent``"
msgstr ""

#: ../../source/getting_started/installation.rst:77
msgid "``glm-edge-chat``, ``glm4-chat``, ``glm4-chat-1m``"
msgstr ""

#: ../../source/getting_started/installation.rst:78
msgid "``codegeex4``, ``glm-4v``"
msgstr ""

#: ../../source/getting_started/installation.rst:79
msgid "``seallm_v2.5``"
msgstr ""

#: ../../source/getting_started/installation.rst:80
msgid "``orion-chat``"
msgstr ""

#: ../../source/getting_started/installation.rst:81
msgid "``qwen1.5-moe-chat``, ``qwen2-moe-instruct``"
msgstr ""

#: ../../source/getting_started/installation.rst:82
msgid "``CohereForCausalLM``"
msgstr ""

#: ../../source/getting_started/installation.rst:83
msgid ""
"``deepseek-v2-chat``, ``deepseek-v2-chat-0628``, ``deepseek-v2.5``, "
"``deepseek-vl2``"
msgstr ""

#: ../../source/getting_started/installation.rst:84
msgid ""
"``deepseek-prover-v2``, ``deepseek-r1``, ``deepseek-r1-0528``, "
"``deepseek-v3``, ``deepseek-v3-0324``, ``Deepseek-V3.1``, ``moonlight-"
"16b-a3b-instruct``"
msgstr ""

#: ../../source/getting_started/installation.rst:85
msgid "``deepseek-r1-0528-qwen3``, ``qwen3``"
msgstr ""

#: ../../source/getting_started/installation.rst:86
msgid "``minicpm3-4b``"
msgstr ""

#: ../../source/getting_started/installation.rst:87
msgid "``internlm3-instruct``"
msgstr ""

#: ../../source/getting_started/installation.rst:88
msgid "``gemma-3-1b-it``"
msgstr ""

#: ../../source/getting_started/installation.rst:89
msgid "``glm4-0414``"
msgstr ""

#: ../../source/getting_started/installation.rst:90
msgid ""
"``minicpm-2b-dpo-bf16``, ``minicpm-2b-dpo-fp16``, ``minicpm-2b-dpo-"
"fp32``, ``minicpm-2b-sft-bf16``, ``minicpm-2b-sft-fp32``, ``minicpm4``"
msgstr ""

#: ../../source/getting_started/installation.rst:91
msgid "``Ernie4.5``"
msgstr ""

#: ../../source/getting_started/installation.rst:92
msgid "``Qwen3-Coder``, ``Qwen3-Instruct``, ``Qwen3-Thinking``"
msgstr ""

#: ../../source/getting_started/installation.rst:93
msgid "``glm-4.5``, ``GLM-4.6``, ``GLM-4.7``"
msgstr ""

#: ../../source/getting_started/installation.rst:94
msgid "``gpt-oss``"
msgstr ""

#: ../../source/getting_started/installation.rst:95
msgid "``seed-oss``"
msgstr ""

#: ../../source/getting_started/installation.rst:96
msgid "``Qwen3-Next-Instruct``, ``Qwen3-Next-Thinking``"
msgstr ""

#: ../../source/getting_started/installation.rst:97
msgid "``DeepSeek-V3.2``, ``DeepSeek-V3.2-Exp``"
msgstr ""

#: ../../source/getting_started/installation.rst:98
msgid "``MiniMax-M2``, ``MiniMax-M2.5``, ``MiniMax-M2.7``"
msgstr ""

#: ../../source/getting_started/installation.rst:99
msgid "``GLM-4.7-Flash``"
msgstr ""

#: ../../source/getting_started/installation.rst:100
msgid "``glm-5``, ``glm-5.1``"
msgstr ""

#: ../../source/getting_started/installation.rst:101
msgid "``DeepSeek-V4-Flash``, ``DeepSeek-V4-Pro``"
msgstr ""

#: ../../source/getting_started/installation.rst:104
msgid "To install Xinference and vLLM::"
msgstr "xinference 및 vLLM 설치::"

#: ../../source/getting_started/installation.rst:117
msgid "Llama.cpp Backend"
msgstr "Llama.cpp 엔진"

#: ../../source/getting_started/installation.rst:118
msgid ""
"Xinference supports models in ``gguf`` format via ``xllamacpp``. "
"`xllamacpp <https://github.com/xorbitsai/xllamacpp>`_ is developed by "
"Xinference team, and is the sole backend for llama.cpp since v1.6.0."
msgstr ""
"Xinference는 xllamacpp를 통해 gguf 형식의 모델을 지원합니다. `xllamacpp "
"<https://github.com/xorbitsai/xllamacpp>`_ 는 Xinference 팀이 개발했으며, "
"v1.6.0부터 llama.cpp의 유일한 백엔드가 되었습니다."

#: ../../source/getting_started/installation.rst:124
msgid ""
"Since Xinference v1.5.0, ``llama-cpp-python`` is deprecated. Since "
"Xinference v1.6.0, ``llama-cpp-python`` has been removed."
msgstr ""
"Xinference v1.5.0부터 ``llama-cpp-python``이(가) 더 이상 사용되지 않으며, Xinference "
"v1.6.0부터 해당 백엔드가 제거되었습니다."

#: ../../source/getting_started/installation.rst:127
#: ../../source/getting_started/installation.rst:140
#: ../../source/getting_started/installation.rst:149
msgid "Initial setup::"
msgstr "초기 단계::"

#: ../../source/getting_started/installation.rst:131
msgid ""
"With per-model virtual environments enabled, Xinference 3.0 automatically"
" selects the matching ``xllamacpp`` GPU wheel for supported CUDA "
"versions; see :ref:`user_guide_backends`. For a manual installation into "
"the process environment, refer to https://github.com/xorbitsai/xllamacpp."
msgstr "모델별 가상 환경을 활성화하면 Xinference 3.0은 지원되는 CUDA 버전에 맞는 ``xllamacpp`` GPU wheel을 자동으로 선택합니다. :ref:`user_guide_backends`를 참조하십시오. 프로세스 환경에 수동으로 설치하려면 https://github.com/xorbitsai/xllamacpp 를 참조하십시오."

#: ../../source/getting_started/installation.rst:137
msgid "SGLang Backend"
msgstr "SGLang 엔진"

#: ../../source/getting_started/installation.rst:138
msgid ""
"SGLang has a high-performance inference runtime with RadixAttention. It "
"significantly accelerates the execution of complex LLM programs by "
"automatic KV cache reuse across multiple calls. And it also supports "
"other common techniques like continuous batching and tensor parallelism."
msgstr ""
"SGLang은 RadixAttention 기반의 고성능 추론 런타임을 갖추고 있습니다. 여러 호출 간에 KV 캐시를 자동으로 "
"재사용하여 복잡한 LLM 프로그램의 실행 속도를 크게 향상시킵니다. 또한 연속 배치 처리 및 텐서 병렬 처리와 같은 일반적인 추론 "
"기술을 지원합니다."

#: ../../source/getting_started/installation.rst:146
msgid "MLX Backend"
msgstr "MLX 엔진"

#: ../../source/getting_started/installation.rst:147
msgid "MLX-lm is designed for Apple silicon users to run LLM efficiently."
msgstr "MLX-lm은 Apple Silicon 칩에서 효율적인 LLM 추론을 제공합니다."

#: ../../source/getting_started/installation.rst:156
msgid "Other Platforms"
msgstr "다른 플랫폼"

#: ../../source/getting_started/installation.rst:158
msgid ":ref:`Ascend NPU <installation_npu>`"
msgstr ""

#~ msgid ""
#~ "``code-llama``, ``code-llama-instruct``, "
#~ "``code-llama-python``, ``deepseek``, "
#~ "``deepseek-chat``, ``deepseek-coder``, "
#~ "``deepseek-coder-instruct``, ``deepseek-r1-distill-"
#~ "llama``, ``gorilla-openfunctions-v2``, "
#~ "``HuatuoGPT-o1-LLaMA-3.1``, ``llama-2``, ``llama-2-chat``,"
#~ " ``llama-3``, ``llama-3-instruct``, ``llama-3.1``, "
#~ "``llama-3.1-instruct``, ``llama-3.3-instruct``, ``tiny-"
#~ "llama``, ``wizardcoder-python-v1.0``, "
#~ "``wizardmath-v1.0``, ``Yi``, ``Yi-1.5``, "
#~ "``Yi-1.5-chat``, ``Yi-1.5-chat-16k``, ``Yi-"
#~ "200k``, ``Yi-chat``"
#~ msgstr ""

#~ msgid ""
#~ "``Baichuan-M2``, ``codeqwen1.5``, ``codeqwen1.5-chat``,"
#~ " ``deepseek-r1-distill-qwen``, ``DianJin-R1``, "
#~ "``fin-r1``, ``HuatuoGPT-o1-Qwen2.5``, ``KAT-V1``, "
#~ "``marco-o1``, ``qwen1.5-chat``, ``qwen2-instruct``, "
#~ "``qwen2.5``, ``qwen2.5-coder``, ``qwen2.5-coder-"
#~ "instruct``, ``qwen2.5-instruct``, ``qwen2.5-instruct-"
#~ "1m``, ``qwenLong-l1``, ``QwQ-32B``, ``QwQ-"
#~ "32B-Preview``, ``seallms-v3``, ``skywork-"
#~ "or1``, ``skywork-or1-preview``, ``XiYanSQL-"
#~ "QwenCoder-2504``"
#~ msgstr ""

#~ msgid "``glm-4.5``"
#~ msgstr ""

#~ msgid "``MiniMax-M2``"
#~ msgstr ""

#~ msgid ""
#~ "For more installation instructions for "
#~ "``xllamacpp`` to enable GPU acceleration, "
#~ "please refer to: "
#~ "https://github.com/xorbitsai/xllamacpp"
#~ msgstr ""
#~ "GPU 가속을 위한 추가 ``xllamacpp`` 설치 설명은"
#~ " 다음을 참조하세요: https://github.com/xorbitsai/xllamacpp"
