ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;border-left: none;padding: 1em;border-radius: 8px;color: rgba(0, 0, 0, 0.5);background: rgb(247, 247, 247);margin: 2em 8px;">ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;font-size: 1em;letter-spacing: 0.1em;color: rgb(80, 80, 80);">“Mixtral有46.7B的总参数，但每个令牌只使用12.9B参数。因此，它以与12.9B型号相同的速度和成本处理输入并生成输出。”
ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;font-size: 1.2em;font-weight: bold;display: table;margin: 4em auto 2em;padding-right: 0.2em;padding-left: 0.2em;background: rgb(15, 76, 129);color: rgb(255, 255, 255);">为什么要使用 Ollama 开源项目 ?ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;margin: 1.5em 8px;letter-spacing: 0.1em;color: rgb(63, 63, 63);"> 在当今人工智能技术飞速发展的时代，大型语言模型(LLM)无疑已成为焦点炯炯的科技明星。自从ChatGPT的推出以来，其强大的自然语言理解和生成能力便惊艳了全球，成为人工智能商业化进程中的杰出代表。ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;margin: 1.5em 8px;letter-spacing: 0.1em;color: rgb(63, 63, 63);">然而，这一领域并非只有诸如 OpenAI的GPT、Anthropic的Claude、谷歌的Gemini等知名商业模型才折桂争芳。事实上，开源LLM同样正在蓬勃发展，为用户提供了更加多元、灵活和经济的选择。无论是希望尝试当下无法作为公共服务获取的前沿模型，还是追求绝对的数据隐私保护，亦或是想以最优成本获取满足需求的性能，开源LLM无疑都是不二之选。ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;margin: 1.5em 8px;letter-spacing: 0.1em;color: rgb(63, 63, 63);"> 而在开源LLM的部署和使用方面，Ollama则可谓是独树一帜的优秀方案。作为一个功能强大且使用便捷的工具套件，Ollama不仅为用户提供了精心策源的优质模型备选，更允许直接引入自有的自定义模型，确保了最大程度的灵活性和定制空间。ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;margin: 1.5em 8px;letter-spacing: 0.1em;color: rgb(63, 63, 63);"> 无论是本地部署还是云端服务，Ollama的简洁设计和完备功能确保了LLM的无缝集成和高效运行。用户可以轻松调用各种计算资源，如GPU加速等，充分释放模型的算力潜能。同时，Ollama 还提供了Web UI、API等多种友好的交互界面，使得用户可以根据不同场景和需求,自如切换使用模式。ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;margin: 1.5em 8px;letter-spacing: 0.1em;color: rgb(63, 63, 63);"> 更为重要的是，Ollama 在隐私和安全性方面也作出了完备的部署。通过本地化运行和数据加密等策略，确保了对话内容和用户数据的完全保密，有效回应了人们对数据安全日益增长的忧虑。在一些涉及敏感信息或隐私法规的领域，Ollama无疑是LLM部署的最佳选择。ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;margin: 1.5em 8px;letter-spacing: 0.1em;color: rgb(63, 63, 63);"> 而在经济性方面，Ollama 同样大放异彩。庞大的开源模型储备库使得用户可以根据实际需求，自由挑选大小适中、性价比极高的模型。同时，Ollama的轻量级设计也减小了部署和运维的系统开销，进一步降低了总体成本。ingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;margin: 1.5em 8px;letter-spacing: 0.1em;color: rgb(63, 63, 63);"> 总的来说，Ollama 正在为开源LLM的发展和应用插上腾飞的翅膀。通过其灵活的定制能力、出色的性能表现、良好的隐私保护和卓越的经济性，Ollama必将吸引越来越多的个人和企业用户加入到开源LLM的阵营，共同推动这一人工智能前沿技术的创新和落地。在通往人工通用智能的道路上，开源LLM和Ollama将扮演越来越重要的角色。Ollama 开源项目独有的优势 运行Ollama的优势众多，它是一个备受欢迎的开源项目，提供了在本地部署和运行大型语言模型的能力。其独特特性可参考如下所示：
1、积极的维护和更新 Ollama 项目得到积极的维护和更新。开发团队不断改进和优化该项目，确保其性能和功能的最新状态。这意味着我们可以依赖于稳定的支持，并享受到最新的改进和修复。 2、庞大而活跃的社区支持 Ollama拥有一个庞大而活跃的社区。您可以加入这个社区，与其他用户和开发者交流、分享经验和解决问题。社区的活跃性意味着我们可以获得及时的帮助和支持，共同推动项目的发展。 3、灵活的部署选项 Ollama提供了便捷的docker容器，使我们可以在本地运行LLM，而无需担心繁琐的安装过程。这为您提供了更大的灵活性，可以根据自己的需求选择合适的部署方式。 4、简单易用 Ollama的使用非常简单。它提供了直观的接口和清晰的文档，使得初学者和有经验的开发者都能够快速上手。我们可以轻松地配置和管理模型，进行文本生成和处理任务。 5、多样化的模型支持 Ollama支持多个模型，并不断添加新的模型。这为我们提供了更多的选择，可以根据具体需求选择适合的模型。此外，您还可以引入自定义模型，以满足个性化的需求。 6、强大的前端支持 Ollama 还提供了优秀的第三方开源前端工具，称为"Ollama Web-UI"。这个前端工具使得使用Ollama更加便捷和直观，我们可以通过它进行模型的交互和可视化展示。 7、多模态模型支持 除了固有的文本处理特性支持，Ollama还支持多模态模型。这意味着我们可以处理多种类型的数据，例如图像、音频和视频等。这种多模态的支持为您提供了更广泛的应用领域和更丰富的功能。 综上所述，运行Ollama带来了诸多优势。积极的维护和更新、庞大而活跃的社区支持、灵活的部署选项、简单易用的接口、多样化的模型支持、强大的前端工具以及多模态模型的能力，都使得 Ollama 成为一个强大而受欢迎的工具，为用户提供了丰富的功能和便利的开发体验。 本地运行 Ollama 基本操作步骤 1. 部署 Ollama
这里，我们以 Mac 平台为操作环境，基于 Docker 进行安装部署，具体可参考如下命令： [lugalee@Labs~]%dockerrun-d-vollama:/root/.ollama-p11434:11434--nameollamaollama/ollama [lugalee@Labs ~ ] % docker psCONTAINER ID IMAGE COMMAND CREATEDSTATUSPORTS NAMEScef2b5f8510c ollama/ollama "/bin/ollama serve" 7 days ago Up 31 seconds 0.0.0.0:11434->11434/tcp, :::11434->11434/tcp ollama[lugalee@Labs ~ ] % docker logs -f cef2b5f8510cCouldn't find '/root/.ollama/id_ed25519'. Generating new private key.Your new public key is:
ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIJjLw5r9XVTA5HWmFMiVR+ulwVj2jtWLWgcD1yTOZb03
2024/05/27 07:08:17 routes.go:1008: INFO server config env="map[OLLAMA_DEBUG:false OLLAMA_LLM_LIBRARY: OLLAMA_MAX_LOADED_MODELS:1 OLLAMA_MAX_QUEUE:512 OLLAMA_MAX_VRAM:0 OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:1 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:*] OLLAMA_RUNNERS_DIR: OLLAMA_TMPDIR:]"time=2024-05-27T07:08:17.576Z level=INFO source=images.go:704 msg="total blobs: 0"time=2024-05-27T07:08:17.576Z level=INFO source=images.go:711 msg="total unused blobs removed: 0"time=2024-05-27T07:08:17.576Z level=INFO source=routes.go:1054 msg="Listening on [::]:11434 (version 0.1.38)"time=2024-05-27T07:08:17.576Z level=INFO source=payload.go:30 msg="extracting embedded files" dir=/tmp/ollama2516332727/runnerstime=2024-05-27T07:08:19.764Z level=INFO source=payload.go:44 msg="Dynamic LLM libraries [cuda_v11 cpu]"time=2024-05-27T07:08:19.766Z level=INFO source=types.go:71 msg="inference compute" id=0 library=cpu compute="" driver=0.0 name="" total="2.5 GiB" available="1.3 GiB"2024/05/27 08:29:29 routes.go:1008: INFO server config env="map[OLLAMA_DEBUG:false OLLAMA_LLM_LIBRARY: OLLAMA_MAX_LOADED_MODELS:1 OLLAMA_MAX_QUEUE:512 OLLAMA_MAX_VRAM:0 OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:1 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:*] OLLAMA_RUNNERS_DIR: OLLAMA_TMPDIR:]"time=2024-05-27T08:29:29.102Z level=INFO source=images.go:704 msg="total blobs: 0"time=2024-05-27T08:29:29.102Z level=INFO source=images.go:711 msg="total unused blobs removed: 0"time=2024-05-27T08:29:29.102Z level=INFO source=routes.go:1054 msg="Listening on [::]:11434 (version 0.1.38)"time=2024-05-27T08:29:29.103Z level=INFO source=payload.go:30 msg="extracting embedded files" dir=/tmp/ollama2886309190/runnerstime=2024-05-27T08:29:31.318Z level=INFO source=payload.go:44 msg="Dynamic LLM libraries [cpu cuda_v11]"time=2024-05-27T08:29:31.320Z level=INFO source=types.go:71 msg="inference compute" id=0 library=cpu compute="" driver=0.0 name="" total="2.5 GiB" available="1.4 GiB"[GIN] 2024/05/27 - 08:41:23 | 200 | 359.716µs | 127.0.0.1 | HEAD "/"[GIN] 2024/05/27 - 08:41:23 | 404 | 773.017µs | 127.0.0.1 | POST "/api/show"time=2024-05-27T08:41:31.891Z level=INFO source=download.go:136 msg="downloading 6a0746a1ec1a in 47 100 MB part(s)"time=2024-05-27T08:41:38.716Z level=INFO source=images.go:1001 msg="request failed: Get \"https://dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflarestorage.com/ollama/docker/registry/v2/blobs/sha256/6a/6a0746a1ec1aef3e7ec53868f220ff6e389f6f8ef87a01d77c96807de94ca2aa/data?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=66040c77ac1b787c3af820529859349a%2F20240527%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20240527T084133Z&X-Amz-Expires=1200&X-Amz-SignedHeaders=host&X-Amz-Signature=618deb64019fbd08450a5b0dc842810c294fd9f7bafb22f3cb29046d2b1379db\": EOF"time=2024-05-27T08:41:38.716Z level=INFO source=download.go:178 msg="6a0746a1ec1a part 45 attempt 0 failed: Get \"https://dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflarestorage.com/ollama/docker/registry/v2/blobs/sha256/6a/6a0746a1ec1aef3e7ec53868f220ff6e389f6f8ef87a01d77c96807de94ca2aa/data?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=66040c77ac1b787c3af820529859349a%2F20240527%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20240527T084133Z&X-Amz-Expires=1200&X-Amz-SignedHeaders=host&X-Amz-Signature=618deb64019fbd08450a5b0dc842810c294fd9f7bafb22f3cb29046d2b1379db\": EOF, retrying in 1s"time=2024-05-27T08:42:04.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 33 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:42:19.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 5 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:42:23.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 27 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:43:12.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 44 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:43:20.893Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 14 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:43:20.893Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 39 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:43:22.717Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 45 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:43:27.896Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 12 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:43:52.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 10 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:43:58.895Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 14 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:44:05.896Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 27 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:44:15.897Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 28 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:44:18.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 40 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:44:22.894Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 6 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:44:33.898Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 27 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:44:41.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 8 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:45:21.901Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 28 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:45:31.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 3 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:45:34.895Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 16 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:46:10.187Z level=INFO source=download.go:178 msg="6a0746a1ec1a part 11 attempt 0 failed: unexpected EOF, retrying in 1s"time=2024-05-27T08:46:12.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 15 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:46:15.188Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 11 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:46:43.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 35 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:47:00.458Z level=INFO source=download.go:178 msg="6a0746a1ec1a part 31 attempt 0 failed: unexpected EOF, retrying in 1s"time=2024-05-27T08:47:10.895Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 1 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:47:30.896Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 10 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:47:38.824Z level=INFO source=download.go:178 msg="6a0746a1ec1a part 9 attempt 0 failed: unexpected EOF, retrying in 1s"time=2024-05-27T08:47:40.431Z level=INFO source=download.go:178 msg="6a0746a1ec1a part 32 attempt 0 failed: unexpected EOF, retrying in 1s"time=2024-05-27T08:47:45.433Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 32 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:47:52.892Z level=INFO source=download.go:251 msg="6a0746a1ec1a part 17 stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."time=2024-05-27T08:49:39.094Z level=INFO source=download.go:136 msg="downloading 4fa551d4f938 in 1 12 KB part(s)"time=2024-05-27T08:49:42.828Z level=INFO source=download.go:136 msg="downloading 8ab4849b038c in 1 254 B part(s)"time=2024-05-27T08:49:47.583Z level=INFO source=download.go:136 msg="downloading 577073ffcc6c in 1 110 B part(s)"time=2024-05-27T08:49:51.368Z level=INFO source=download.go:136 msg="downloading 3f8eb4da87fa in 1 485 B part(s)"[GIN] 2024/05/27 - 08:49:59 | 200 | 8m35s | 127.0.0.1 | POST "/api/pull"[GIN] 2024/05/27 - 08:49:59 | 200 |1.434741ms | 127.0.0.1 | POST "/api/show"[GIN] 2024/05/27 - 08:49:59 | 200 | 893.744µs | 127.0.0.1 | POST "/api/show"...
此时，Ollama 已部署 OK。 2. 运行llama3 接下来，我们可以进行 llama3，具体如下所示：
[lugalee@Labs~]%ollamarunllama3pullingmanifestpulling6a0746a1ec1a...100%▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏4.7GBpulling4fa551d4f938...100%▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏12KBpulling8ab4849b038c...100%▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏254Bpulling577073ffcc6c...100%▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏110Bpulling3f8eb4da87fa...100%▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏485Bverifyingsha256digestwritingmanifestremovinganyunusedlayerssuccess 此时，我们可以与模型进行交互，具体可参考： >>> Why do people at the bottom like to tear each other apart? 为什么底层人就喜欢互撕？A thought-provoking question!
It's important to note that not everyone at the "bottom" (whatever that means in a specific context) likes
3.运行 Ollama Web-UI 接下来，我们使用 Docker运行 Ollama Web-UI docker 容器，以配合我们的 Ollama 实例。具体如下所示： [lugalee@Labs~]%dockerrun-d-p3000:8080--add-host=host.docker.internal:host-gateway-vollama-webui:/app/backend/data--nameollama-webui--restartalwaysghcr.io/ollama-webui/ollama-webui:mainUnabletofindimage'ghcr.io/ollama-webui/ollama-webui:main'locallymain ullingfromollama-webui/ollama-webuif546e941f15bullcomplete24935aba99a7ullcomplete07b3e0dc751aullcomplete7e0115596a7aullcompletea66610a3b2a1ullcompletec175d9a7d72dullcomplete118c270ec011ullcomplete2560efb5a1feullcomplete0a3a251ca3a9ullcompletee66887d25b67:Pullcompletee138e3ef45c8:Pullcompleteebe686cd15b0:Pullcompletecbb3a246d52b:Pullcomplete133390a53c46:Pullcomplete5691cbf1cdd3:PullcompleteDigest:sha256:d5a5c1126b5decbfbfcac4f2c3d0595e0bbf7957e3fcabc9ee802d3bc66db6d2Status ownloadednewerimageforghcr.io/ollama-webui/ollama-webui:main8fa5ed05075bbcc118451d79d10ea6754fa8c51c47e27016949807ccc60cac4e[lugalee@Labs~]%dockerpsCONTAINERIDIMAGECOMMANDCREATEDSTATUSPORTSNAMES8fa5ed05075bghcr.io/ollama-webui/ollama-webui:main"bashstart.sh"5secondsagoUp4seconds0.0.0.0:3000->8080/tcp,:::3000->8080/tcpollama-webuicef2b5f8510collama/ollama"/bin/ollamaserve"7daysagoUp2minutes0.0.0.0:11434->11434/tcp,:::11434->11434/tcpollama[lugalee@Labs~]%dockerlogs-f8fa5ed05075bNoWEBUI_SECRET_KEYprovidedGeneratingWEBUI_SECRET_KEYLoadingWEBUI_SECRET_KEYfrom.webui_secret_keyINFO:Startedserverprocess[1]INFO:Waitingforapplicationstartup.INFO:Applicationstartupcomplete.INFO:Uvicornrunningonhttp://0.0.0.0:8080(PressCTRL+Ctoquit)INFO:192.168.215.1:48232-"GET/HTTP/1.1"200OKINFO:192.168.215.1:48232-"GET/manifest.jsonHTTP/1.1"200OKINFO:192.168.215.1:48233-"GET/_app/immutable/entry/start.9d275286.jsHTTP/1.1"200OKINFO:192.168.215.1:48236-"GET/_app/immutable/chunks/index.afef706d.jsHTTP/1.1"200OKINFO:192.168.215.1:48232-"GET/_app/immutable/chunks/index.65c87b32.jsHTTP/1.1"200OKINFO:192.168.215.1:48235-"GET/_app/immutable/chunks/singletons.1c028cc1.jsHTTP/1.1"200OKINFO:192.168.215.1:48234-"GET/_app/immutable/chunks/scheduler.f6668761.jsHTTP/1.1"200OKINFO:192.168.215.1:48237-"GET/_app/immutable/entry/app.653e80bf.jsHTTP/1.1"200OKINFO:192.168.215.1:48235-"GET/_app/immutable/assets/Toaster.3a6d0da3.cssHTTP/1.1"200OKINFO:192.168.215.1:48237-"GET/_app/immutable/chunks/Toaster.svelte_svelte_type_style_lang.4f4e956a.jsHTTP/1.1"200OKINFO:192.168.215.1:48233-"GET/_app/immutable/chunks/constants.c3d2104f.jsHTTP/1.1"200OKINFO:192.168.215.1:48232-"GET/_app/immutable/nodes/0.e5f3822c.jsHTTP/1.1"200OKINFO:192.168.215.1:48236-"GET/_app/immutable/chunks/each.2cd6bd47.jsHTTP/1.1"200OKINFO:192.168.215.1:48234-"GET/_app/immutable/chunks/navigation.613629d5.jsHTTP/1.1"200OKINFO:192.168.215.1:48235-"GET/_app/immutable/chunks/index.c122cac0.jsHTTP/1.1"200OKINFO:192.168.215.1:48233-"GET/_app/immutable/chunks/index.c4d7520e.jsHTTP/1.1"200OKINFO:192.168.215.1:48234-"GET/_app/immutable/nodes/1.ccc6771d.jsHTTP/1.1"200OKINFO:192.168.215.1:48236-"GET/_app/immutable/assets/0.de36d200.cssHTTP/1.1"200OKINFO:192.168.215.1:48232-"GET/_app/immutable/nodes/2.02d12cc1.jsHTTP/1.1"200OKINFO:192.168.215.1:48237-"GET/_app/immutable/chunks/stores.81ef0f3d.jsHTTP/1.1"200OKINFO:192.168.215.1:48235-"GET/_app/immutable/chunks/FileSaver.min.898eb36f.jsHTTP/1.1"200OKINFO:192.168.215.1:48233-"GET/_app/immutable/chunks/_commonjsHelpers.de833af9.jsHTTP/1.1"200OKINFO:192.168.215.1:48237-"GET/_app/immutable/chunks/index.24d0f459.jsHTTP/1.1"200OKINFO:192.168.215.1:48234-"GET/_app/immutable/chunks/index.69f6ab4e.jsHTTP/1.1"200OKINFO:192.168.215.1:48236-"GET/_app/immutable/chunks/index.15f26e66.jsHTTP/1.1"200OKINFO:192.168.215.1:48233-"GET/_app/immutable/chunks/index.b7ffcff4.jsHTTP/1.1"200OKINFO:192.168.215.1:48232-"GET/_app/immutable/chunks/index.94bf9275.jsHTTP/1.1"200OKINFO:192.168.215.1:48235-"GET/_app/immutable/chunks/Modal.68c1a0a5.jsHTTP/1.1"200OKINFO:192.168.215.1:48236-"GET/_app/immutable/chunks/index.f3d17e4d.jsHTTP/1.1"200OKINFO:192.168.215.1:48237-"GET/_app/immutable/chunks/AdvancedParams.020cee97.jsHTTP/1.1"200OKINFO:192.168.215.1:48234-"GET/_app/immutable/chunks/index.3f5e7a6d.jsHTTP/1.1"200OKINFO:192.168.215.1:48233-"GET/_app/immutable/assets/2.c7820e19.cssHTTP/1.1"200OKINFO:192.168.215.1:48232-"GET/_app/immutable/nodes/3.f0821a72.jsHTTP/1.1"200OKINFO:192.168.215.1:48236-"GET/_app/immutable/chunks/Tags.4457bfcc.jsHTTP/1.1"200OKINFO:192.168.215.1:48235-"GET/_app/immutable/chunks/index.4987a420.jsHTTP/1.1"200OKINFO:192.168.215.1:48237-"GET/_app/immutable/chunks/dayjs.min.1e504c00.jsHTTP/1.1"200OKINFO:192.168.215.1:48234-"GET/_app/immutable/assets/index.8a27bb7e.cssHTTP/1.1"200OKINFO:192.168.215.1:48234-"GET/api/v1/HTTP/1.1"200OK... 此命令将运行名为“ollama-webui”的Ollama Web-UI容器，将容器端口8080映射到主机端口3000，并映射一个卷以持久存储文件。我们可以通过访问http://127.0.0.1:3000/进行测试访问，具体可参考： 
注册完成后，我们在本地创建一个账户，然后进入主页进行模型交互，具体可参考如下： 
OK，到此为止，尽情玩吧～································· |
