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# 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: de\n"
"Language-Team: de <LL@li.org>\n"
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"Content-Type: text/plain; charset=utf-8\n"
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"Generated-By: Babel 2.17.0\n"

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

#: ../../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 ""
"Xinference kann unter Linux, Windows und MacOS über ``pip`` installiert "
"werden. Wenn Sie Xinference für Modellinferenz verwenden möchten, können "
"Sie je nach Modell unterschiedliche Engines festlegen."

#: ../../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 ""
"Wenn Sie alle unterstützten Modelle bereitstellen möchten, können Sie "
"alle erforderlichen Abhängigkeiten mit einem einzigen Befehl "
"installieren::"

#: ../../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 ""
"Da vllm und sglang in Bezug auf Paketabhängigkeiten nicht kompatibel "
"sind, haben wir sglang aus dem all-Paket entfernt. Wenn Sie sglang "
"verwenden möchten, nutzen Sie bitte ``pip install 'xinference[sglang]'``."

#: ../../source/getting_started/installation.rst:17
msgid "Several usage scenarios require special attention."
msgstr "Einige Nutzungsszenarien erfordern besondere Aufmerksamkeit."

#: ../../source/getting_started/installation.rst:19
msgid "**GGUF format** with **llama.cpp engine**"
msgstr "**GGUF-Format** in Kombination mit der **llama.cpp-Engine**"

#: ../../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 ""
"In diesem Fall wird empfohlen, die Abhängigkeiten basierend auf Ihren "
"Hardwarespezifikationen manuell zu installieren, um die Beschleunigung zu"
" aktivieren. Weitere Details finden Sie im Abschnitt "
":ref:`installation_gguf`."

#: ../../source/getting_started/installation.rst:23
msgid "**AWQ or GPTQ** format with **transformers engine**"
msgstr ""
"**AWQ- oder GPTQ-Format** in Verbindung mit **transformers-Engine** "
"verwenden"

#: ../../source/getting_started/installation.rst:25
msgid "**This section is added in v1.6.0.**"
msgstr "**Der Inhalt dieses Abschnitts wurde in v1.6.0 hinzugefügt.**"

#: ../../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 ""
"Dies liegt daran, dass die Abhängigkeiten in dieser Phase spezielle "
"Optionen erfordern und schwer zu installieren sind. Bitte führen Sie die "
"folgenden Befehle vorab aus:"

#: ../../source/getting_started/installation.rst:33
msgid ""
"Some dependencies like ``transformers`` might be downgraded, you can run "
"``pip install \"xinference[all]\"`` afterwards."
msgstr ""
"Bestimmte Abhängigkeiten, wie ``transformers``, könnten herabgestuft "
"werden. Sie können später ``pip install \"xinference[all]\"`` ausführen."

#: ../../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 ""
"Wenn Sie nur die erforderlichen Abhängigkeiten installieren möchten, "
"finden Sie hier die detaillierten Schritte zur Vorgehensweise."

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

#: ../../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 ""
"Der PyTorch(transformers) Engine unterstützt nahezu alle neuesten "
"Modelle. Dies ist die standardmäßig verwendete Engine für PyTorch-"
"Modelle::"

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

#: ../../source/getting_started/installation.rst:48
msgid ""
"The transformers engine supports ``pytorch`` / ``gptq`` / ``awq`` / "
"``bnb`` / ``fp4`` formats."
msgstr ""
"Die Transformers-Engine unterstützt die Formate ``pytorch`` / ``gptq`` / "
"``awq`` / ``bnb`` / ``fp4``."

#: ../../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 ""
"Das FP4-Format erfordert ``transformers`` mit Unterstützung für "
"``FPQuantConfig``. Wenn ein Importfehler auftritt, aktualisieren Sie "
"bitte ``transformers`` auf eine neuere Version."

#: ../../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 ""
"vLLM ist eine leistungsstarke Inferenz-Engine für große Modelle, die hohe"
" Parallelität unterstützt. Wenn die folgenden Bedingungen erfüllt sind, "
"wählt Xinference automatisch vLLM als Engine aus, um einen höheren "
"Durchsatz zu erreichen:"

#: ../../source/getting_started/installation.rst:57
msgid ""
"The model format is ``pytorch``, ``gptq``, ``awq``, ``fp4``, ``fp8`` or "
"``bnb``."
msgstr ""
"Das Modellformat ist ``pytorch``, ``gptq``, ``awq``, ``fp4``, ``fp8`` "
"oder ``bnb``."

#: ../../source/getting_started/installation.rst:58
msgid "When the model format is ``pytorch``, the quantization is ``none``."
msgstr ""
"Wenn das Modellformat ``pytorch`` ist, muss die Quantisierungsoption "
"``none`` sein."

#: ../../source/getting_started/installation.rst:59
msgid "When the model format is ``awq``, the quantization is ``Int4``."
msgstr ""
"Wenn das Modellformat ``awq`` ist, muss die Quantisierungsoption ``Int4``"
" sein."

#: ../../source/getting_started/installation.rst:60
msgid ""
"When the model format is ``gptq``, the quantization is ``Int3``, ``Int4``"
" or ``Int8``."
msgstr ""
"Wenn das Modellformat ``gptq`` ist, müssen die Quantisierungsoptionen "
"``Int3``, ``Int4`` oder ``Int8`` sein."

#: ../../source/getting_started/installation.rst:61
msgid "The system is Linux and has at least one CUDA device"
msgstr ""
"Das Betriebssystem ist Linux und es gibt mindestens ein Gerät, das CUDA "
"unterstützt."

#: ../../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 ""
"Das Feld ``model_family`` für benutzerdefinierte Modelle und das Feld "
"``model_name`` für integrierte Modelle befinden sich in der "
"Unterstützungsliste von vLLM."

#: ../../source/getting_started/installation.rst:64
msgid "Currently, supported models include:"
msgstr "Derzeit umfassen die unterstützten Modelle:"

#: ../../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 "Installiere xinference und vLLM::"

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

#: ../../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 ""
"Xinference unterstützt Modelle im ``gguf``-Format über ``xllamacpp``. "
"`xllamacpp <https://github.com/xorbitsai/xllamacpp>`_ wird vom "
"Xinference-Team entwickelt und ist seit v1.6.0 das einzige Backend für "
"llama.cpp."

#: ../../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 ""
"Seit Xinference v1.5.0 ist ``llama-cpp-python`` veraltet; seit Xinference"
" v1.6.0 wurde dieses Backend entfernt."

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

#: ../../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 "Bei aktivierten virtuellen Umgebungen pro Modell wählt Xinference 3.0 für unterstützte CUDA-Versionen automatisch das passende ``xllamacpp``-GPU-Wheel aus; siehe :ref:`user_guide_backends`. Hinweise zur manuellen Installation in die Prozessumgebung finden Sie unter https://github.com/xorbitsai/xllamacpp."

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

#: ../../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 ""
"SGLang besitzt eine leistungsstarke Inferenz-Laufzeitumgebung basierend "
"auf RadixAttention. Sie beschleunigt die Ausführung komplexer LLM-"
"Programme erheblich, indem sie den KV-Cache automatisch über mehrere "
"Aufrufe hinweg wiederverwendet. Sie unterstützt zudem andere gängige "
"Inferenztechniken wie kontinuierliches Batching und Tensor-"
"Parallelverarbeitung."

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

#: ../../source/getting_started/installation.rst:147
msgid "MLX-lm is designed for Apple silicon users to run LLM efficiently."
msgstr ""
"MLX-lm wird verwendet, um effiziente LLM-Inferenz auf Apple-Silicon-Chips"
" bereitzustellen."

#: ../../source/getting_started/installation.rst:156
msgid "Other Platforms"
msgstr "Andere Plattformen"

#: ../../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 ""
#~ "Weitere Installationsanleitungen für ``xllamacpp``"
#~ " zur Aktivierung der GPU-Beschleunigung "
#~ "finden Sie unter: "
#~ "https://github.com/xorbitsai/xllamacpp"
