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Update ollama-release doc into v0.6.2 (#13094)
* Update ollama-release doc into v0.6.2 * update * revert signature changes
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docs/mddocs/Quickstart/ollama_portable_zip_quickstart.md

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@@ -28,7 +28,7 @@ This guide demonstrates how to use [Ollama portable zip](https://github.com/ipex
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- [Increase context length in Ollama](#increase-context-length-in-ollama)
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- [Select specific GPU(s) to run Ollama when multiple ones are available](#select-specific-gpus-to-run-ollama-when-multiple-ones-are-available)
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- [Tune performance](#tune-performance)
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- [Additional models supported after Ollama v0.5.4](#additional-models-supported-after-ollama-v054)
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- [Additional models supported after Ollama v0.6.2](#additional-models-supported-after-ollama-v062)
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- [Signature Verification](#signature-verification)
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- [More details](ollama_quickstart.md)
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### Step 1: Download and Extract
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Download IPEX-LLM Ollama portable tgz for Ubuntu users from the [link](https://github.com/ipex-llm/ipex-llm/releases/tag/v2.3.0-nightly).
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Then open a terminal, extract the tgz file to a folder.
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```bash
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> [!TIP]
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> You could refer to [here](https://www.intel.com/content/www/us/en/developer/articles/guide/level-zero-immediate-command-lists.html) regarding more information about Level Zero Immediate Command Lists.
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### Additional models supported after Ollama v0.5.4
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### Additional models supported after Ollama v0.6.2
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The currently Ollama Portable Zip is based on Ollama v0.5.4; in addition, the following new models have also been supported in the Ollama Portable Zip:
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The currently Ollama Portable Zip is based on Ollama v0.6.2; in addition, the following new models have also been supported in the Ollama Portable Zip:
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| Model | Download (Windows) | Download (Linux) | Model Link |
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| - | - | - | - |

docs/mddocs/Quickstart/ollama_portable_zip_quickstart.zh-CN.md

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< <a href='./ollama_portable_zip_quickstart.md'>English</a> | <b>中文</b> >
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</p>
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本指南演示如何使用 [Ollama portable zip](https://github.com/ipex-llm/ipex-llm/releases/tag/v2.3.0-nightly) 通过 `ipex-llm` 在 Intel GPU 上直接免安装运行 Ollama。
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> [!NOTE]
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- [在 Ollama 中增加上下文长度](#在-ollama-中增加上下文长度)
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- [在多块 GPU 可用时选择特定的 GPU 来运行 Ollama](#在多块-gpu-可用时选择特定的-gpu-来运行-ollama)
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- [性能调优](#性能调优)
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- [Ollama v0.5.4 之后新增模型支持](#ollama-v054-之后新增模型支持)
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- [Ollama v0.6.2 之后新增模型支持](#ollama-v062-之后新增模型支持)
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- [签名验证](#签名验证)
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- [更多信息](ollama_quickstart.zh-CN.md)
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> [!TIP]
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> 参考[此处文档](https://www.intel.com/content/www/us/en/developer/articles/guide/level-zero-immediate-command-lists.html)以获取更多 Level Zero Immediate Command Lists 相关信息。
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### Ollama v0.5.4 之后新增模型支持
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### Ollama v0.6.2 之后新增模型支持
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当前的 Ollama Portable Zip 基于 Ollama v0.5.4;此外,以下新模型也已在 Ollama Portable Zip 中得到支持:
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当前的 Ollama Portable Zip 基于 Ollama v0.6.2;此外,以下新模型也已在 Ollama Portable Zip 中得到支持:
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| 模型 | 下载(Windows)| 下载(Linux)| 模型链接 |
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docs/mddocs/Quickstart/ollama_quickstart.md

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> For installation on Intel Arc B-Series GPU (such as **B580**), please refer to this [guide](./bmg_quickstart.md).
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> [!NOTE]
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> Our current version is consistent with [v0.5.4](https://github.com/ollama/ollama/releases/tag/v0.5.4) of ollama.
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> Our current version is consistent with [v0.6.2](https://github.com/ollama/ollama/releases/tag/v0.6.2) of ollama.
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>
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> `ipex-llm[cpp]==2.2.0b20250123` is consistent with [v0.5.1](https://github.com/ollama/ollama/releases/tag/v0.5.1) of ollama.
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> `ipex-llm[cpp]==2.2.0b20250413` is consistent with [v0.5.4](https://github.com/ollama/ollama/releases/tag/v0.5.4) of ollama.
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See the demo of running LLaMA2-7B on Intel Arc GPU below.
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docs/mddocs/Quickstart/ollama_quickstart.zh-CN.md

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> 如果是在 Intel Arc B 系列 GPU 上安装(例如 **B580**),请参阅本[指南](./bmg_quickstart.md)
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> [!NOTE]
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> `ipex-llm[cpp]` 的最新版本与官方 ollama 的 [v0.5.4](https://github.com/ollama/ollama/releases/tag/v0.5.4) 版本保持一致。
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> `ipex-llm[cpp]` 的最新版本与官方 ollama 的 [v0.6.2](https://github.com/ollama/ollama/releases/tag/v0.6.2) 版本保持一致。
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> `ipex-llm[cpp]==2.2.0b20250123` 与官方 ollama 的 [v0.5.1](https://github.com/ollama/ollama/releases/tag/v0.5.1) 版本保持一致。
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> `ipex-llm[cpp]==2.2.0b20250413` 与官方 ollama 的 [v0.5.4](https://github.com/ollama/ollama/releases/tag/v0.5.4) 版本保持一致。
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以下是在 Intel Arc GPU 上运行 LLaMA2-7B 的 DEMO 演示。
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