init

README.md

-<div align="center">
- <img alt="ollama" height="200px" src="https://github.com/ollama/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7">
-</div>
+# <div align="center"><strong>Ollama</strong></div>
 
-# Ollama
+## 简介
 
-[![Discord](https://dcbadge.vercel.app/api/server/ollama?style=flat&compact=true)](https://discord.gg/ollama)
+1 Ollama是以llama.cpp为后端的前端大模型推理框架，可快速部署主流模型。
 
-Get up and running with large language models.
+## 安装
 
-### macOS
+### 1、使用dockerfile方式安装
 
-[Download](https://ollama.com/download/Ollama-darwin.zip)
+直接下载本仓库中的`v0.3.5`分支，然后执行`docker build xxxxx`相关命令（具体需自行查阅相关资料）。
 
-### Windows preview
+如遇到卡数检测错误，请参考 https://developer.hpccube.com/codes/OpenDAS/ollama/-/issues/1 ，也可以提前进行修复。
 
-[Download](https://ollama.com/download/OllamaSetup.exe)
+### 2、使用源码编译方式安装
 
-### Linux
+#### 环境准备
 
-```
-curl -fsSL https://ollama.com/install.sh | sh
-```
+##### Docker
 
-[Manual install instructions](https://github.com/ollama/ollama/blob/main/docs/linux.md)
+    docker pull docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.1.0-py3.10-dtk24.04.3-ubuntu20.04
     
-### Docker
+    docker run -i -t -d  --device=/dev/kfd --privileged --network=host --device=/dev/dri --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home  -v /opt/hyhal:/opt/hyhal:ro -v --group-add video --shm-size 16G --name {容器名} {镜像ID}
 
-The official [Ollama Docker image](https://hub.docker.com/r/ollama/ollama) `ollama/ollama` is available on Docker Hub.
 
-### Libraries
+1、下载源码
 
-- [ollama-python](https://github.com/ollama/ollama-python)
-- [ollama-js](https://github.com/ollama/ollama-js)
+    git clone -b v0.3.5 http://developer.sourcefind.cn/codes/OpenDAS/ollama.git --depth=1
+    cd ollama
 
-## Quickstart
+2、安装依赖包
 
-To run and chat with [Llama 3.1](https://ollama.com/library/llama3.1):
+    cd llm/llama.cpp
+    pip install -r requirements.txt
 
-```
-ollama run llama3.1
-```
+#### 编译
 
-## Model library
+##### 环境设置
+    export AMDGPU_TARGETS=当前设备型号（如：gfx906，gfx928等）
+    export HSA_OVERRIDE_GFX_VERSION=设备型号（如: gfx906对应9.0.6；gfx928对应9.2.8）
+    export HIP_VISIBLE_DEVICES=所有设备号（0,1,2,3,4,5,6,...）/选择设备号
 
-Ollama supports a list of models available on [ollama.com/library](https://ollama.com/library 'ollama model library')
+安装go
 
-Here are some example models that can be downloaded:
+https://golang.google.cn/dl/
 
-| Model              | Parameters | Size  | Download                       |
-| ------------------ | ---------- | ----- | ------------------------------ |
-| Llama 3.1          | 8B         | 4.7GB | `ollama run llama3.1`          |
-| Llama 3.1          | 70B        | 40GB  | `ollama run llama3.1:70b`      |
-| Llama 3.1          | 405B       | 231GB | `ollama run llama3.1:405b`     |
-| Phi 3 Mini         | 3.8B       | 2.3GB | `ollama run phi3`              |
-| Phi 3 Medium       | 14B        | 7.9GB | `ollama run phi3:medium`       |
-| Gemma 2            | 2B         | 1.6GB | `ollama run gemma2:2b`         |
-| Gemma 2            | 9B         | 5.5GB | `ollama run gemma2`            |
-| Gemma 2            | 27B        | 16GB  | `ollama run gemma2:27b`        |
-| Mistral            | 7B         | 4.1GB | `ollama run mistral`           |
-| Moondream 2        | 1.4B       | 829MB | `ollama run moondream`         |
-| Neural Chat        | 7B         | 4.1GB | `ollama run neural-chat`       |
-| Starling           | 7B         | 4.1GB | `ollama run starling-lm`       |
-| Code Llama         | 7B         | 3.8GB | `ollama run codellama`         |
-| Llama 2 Uncensored | 7B         | 3.8GB | `ollama run llama2-uncensored` |
-| LLaVA              | 7B         | 4.5GB | `ollama run llava`             |
-| Solar              | 10.7B      | 6.1GB | `ollama run solar`             |
+    # 请替换[]中下载的go文件
+    cd ../..
+    tar -C /usr/local -xzf [go-xxxx.tar.gz](ollama目录下)
+    export PATH=$PATH:/usr/local/go/bin
     
-> [!NOTE]
-> You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.
+    # 修改go下载源，提升速度（按需设置）
+    go env -w GO111MODULE=on
+    go env -w GOPROXY=https://goproxy.cn,direct
 
-## Customize a model
+##### 运行编译
 
-### Import from GGUF
+    cd llm/generate && bash gen_linux.sh
+    cd ../.. && go build
 
-Ollama supports importing GGUF models in the Modelfile:
+## 验证
 
-1. Create a file named `Modelfile`, with a `FROM` instruction with the local filepath to the model you want to import.
+    ./ollama serve  （选择可用设备，可通过上条命令输出结果查看）
+    ./ollama run llama3.1
 
-   ```
-   FROM ./vicuna-33b.Q4_0.gguf
-   ```
+更多使用方式请参考[原项目](https://github.com/ollama/ollama)。
 
-2. Create the model in Ollama
+注意：每次运行前请检查环境变量`HSA_OVERRIDE_GFX_VERSION`是否正确设置。
 
-   ```
-   ollama create example -f Modelfile
-   ```
-
-3. Run the model
-
-   ```
-   ollama run example
-   ```
-
-### Import from PyTorch or Safetensors
-
-See the [guide](docs/import.md) on importing models for more information.
-
-### Customize a prompt
-
-Models from the Ollama library can be customized with a prompt. For example, to customize the `llama3.1` model:
-
-```
-ollama pull llama3.1
-```
-
-Create a `Modelfile`:
-
-```
-FROM llama3.1
-
-# set the temperature to 1 [higher is more creative, lower is more coherent]
-PARAMETER temperature 1
-
-# set the system message
-SYSTEM """
-You are Mario from Super Mario Bros. Answer as Mario, the assistant, only.
-"""
-```
-
-Next, create and run the model:
-
-```
-ollama create mario -f ./Modelfile
-ollama run mario
->>> hi
-Hello! It's your friend Mario.
-```
-
-For more examples, see the [examples](examples) directory. For more information on working with a Modelfile, see the [Modelfile](docs/modelfile.md) documentation.
-
-## CLI Reference
-
-### Create a model
-
-`ollama create` is used to create a model from a Modelfile.
-
-```
-ollama create mymodel -f ./Modelfile
-```
-
-### Pull a model
-
-```
-ollama pull llama3.1
-```
-
-> This command can also be used to update a local model. Only the diff will be pulled.
-
-### Remove a model
-
-```
-ollama rm llama3.1
-```
-
-### Copy a model
-
-```
-ollama cp llama3.1 my-model
-```
-
-### Multiline input
-
-For multiline input, you can wrap text with `"""`:
-
-```
->>> """Hello,
-... world!
-... """
-I'm a basic program that prints the famous "Hello, world!" message to the console.
-```
-
-### Multimodal models
-
-```
-ollama run llava "What's in this image? /Users/jmorgan/Desktop/smile.png"
-The image features a yellow smiley face, which is likely the central focus of the picture.
-```
-
-### Pass the prompt as an argument
-
-```
-$ ollama run llama3.1 "Summarize this file: $(cat README.md)"
- Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications.
-```
-
-### Show model information
-
-```
-ollama show llama3.1
-```
-
-### List models on your computer
-
-```
-ollama list
-```
-
-### Start Ollama
-
-`ollama serve` is used when you want to start ollama without running the desktop application.
-
-## Building
-
-See the [developer guide](https://github.com/ollama/ollama/blob/main/docs/development.md)
-
-### Running local builds
-
-Next, start the server:
-
-```
-./ollama serve
-```
-
-Finally, in a separate shell, run a model:
-
-```
-./ollama run llama3.1
-```
-
-## REST API
-
-Ollama has a REST API for running and managing models.
-
-### Generate a response
-
-```
-curl http://localhost:11434/api/generate -d '{
-  "model": "llama3.1",
-  "prompt":"Why is the sky blue?"
-}'
-```
-
-### Chat with a model
-
-```
-curl http://localhost:11434/api/chat -d '{
-  "model": "llama3.1",
-  "messages": [
-    { "role": "user", "content": "why is the sky blue?" }
-  ]
-}'
-```
-
-See the [API documentation](./docs/api.md) for all endpoints.
-
-## Community Integrations
-
-### Web & Desktop
-
-- [Open WebUI](https://github.com/open-webui/open-webui)
-- [Enchanted (macOS native)](https://github.com/AugustDev/enchanted)
-- [Hollama](https://github.com/fmaclen/hollama)
-- [Lollms-Webui](https://github.com/ParisNeo/lollms-webui)
-- [LibreChat](https://github.com/danny-avila/LibreChat)
-- [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt)
-- [HTML UI](https://github.com/rtcfirefly/ollama-ui)
-- [Saddle](https://github.com/jikkuatwork/saddle)
-- [Chatbot UI](https://github.com/ivanfioravanti/chatbot-ollama)
-- [Chatbot UI v2](https://github.com/mckaywrigley/chatbot-ui)
-- [Typescript UI](https://github.com/ollama-interface/Ollama-Gui?tab=readme-ov-file)
-- [Minimalistic React UI for Ollama Models](https://github.com/richawo/minimal-llm-ui)
-- [Ollamac](https://github.com/kevinhermawan/Ollamac)
-- [big-AGI](https://github.com/enricoros/big-AGI/blob/main/docs/config-local-ollama.md)
-- [Cheshire Cat assistant framework](https://github.com/cheshire-cat-ai/core)
-- [Amica](https://github.com/semperai/amica)
-- [chatd](https://github.com/BruceMacD/chatd)
-- [Ollama-SwiftUI](https://github.com/kghandour/Ollama-SwiftUI)
-- [Dify.AI](https://github.com/langgenius/dify)
-- [MindMac](https://mindmac.app)
-- [NextJS Web Interface for Ollama](https://github.com/jakobhoeg/nextjs-ollama-llm-ui)
-- [Msty](https://msty.app)
-- [Chatbox](https://github.com/Bin-Huang/Chatbox)
-- [WinForm Ollama Copilot](https://github.com/tgraupmann/WinForm_Ollama_Copilot)
-- [NextChat](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) with [Get Started Doc](https://docs.nextchat.dev/models/ollama)
-- [Alpaca WebUI](https://github.com/mmo80/alpaca-webui)
-- [OllamaGUI](https://github.com/enoch1118/ollamaGUI)
-- [OpenAOE](https://github.com/InternLM/OpenAOE)
-- [Odin Runes](https://github.com/leonid20000/OdinRunes)
-- [LLM-X](https://github.com/mrdjohnson/llm-x) (Progressive Web App)
-- [AnythingLLM (Docker + MacOs/Windows/Linux native app)](https://github.com/Mintplex-Labs/anything-llm)
-- [Ollama Basic Chat: Uses HyperDiv Reactive UI](https://github.com/rapidarchitect/ollama_basic_chat)
-- [Ollama-chats RPG](https://github.com/drazdra/ollama-chats)
-- [QA-Pilot](https://github.com/reid41/QA-Pilot) (Chat with Code Repository)
-- [ChatOllama](https://github.com/sugarforever/chat-ollama) (Open Source Chatbot based on Ollama with Knowledge Bases)
-- [CRAG Ollama Chat](https://github.com/Nagi-ovo/CRAG-Ollama-Chat) (Simple Web Search with Corrective RAG)
-- [RAGFlow](https://github.com/infiniflow/ragflow) (Open-source Retrieval-Augmented Generation engine based on deep document understanding)
-- [StreamDeploy](https://github.com/StreamDeploy-DevRel/streamdeploy-llm-app-scaffold) (LLM Application Scaffold)
-- [chat](https://github.com/swuecho/chat) (chat web app for teams)
-- [Lobe Chat](https://github.com/lobehub/lobe-chat) with [Integrating Doc](https://lobehub.com/docs/self-hosting/examples/ollama)
-- [Ollama RAG Chatbot](https://github.com/datvodinh/rag-chatbot.git) (Local Chat with multiple PDFs using Ollama and RAG)
-- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) (Flexible native client with RAG & multi-agent automation)
-- [macai](https://github.com/Renset/macai) (macOS client for Ollama, ChatGPT, and other compatible API back-ends)
-- [Olpaka](https://github.com/Otacon/olpaka) (User-friendly Flutter Web App for Ollama)
-- [OllamaSpring](https://github.com/CrazyNeil/OllamaSpring) (Ollama Client for macOS)
-- [LLocal.in](https://github.com/kartikm7/llocal) (Easy to use Electron Desktop Client for Ollama)
-- [Ollama with Google Mesop](https://github.com/rapidarchitect/ollama_mesop/) (Mesop Chat Client implementation with Ollama)
-- [Kerlig AI](https://www.kerlig.com/) (AI writing assistant for macOS)
-- [AI Studio](https://github.com/MindWorkAI/AI-Studio)
-- [Sidellama](https://github.com/gyopak/sidellama) (browser-based LLM client)
-- [LLMStack](https://github.com/trypromptly/LLMStack) (No-code multi-agent framework to build LLM agents and workflows)
-- [BoltAI for Mac](https://boltai.com) (AI Chat Client for Mac)
-- [Harbor](https://github.com/av/harbor) (Containerized LLM Toolkit with Ollama as default backend)
-
-### Terminal
-
-- [oterm](https://github.com/ggozad/oterm)
-- [Ellama Emacs client](https://github.com/s-kostyaev/ellama)
-- [Emacs client](https://github.com/zweifisch/ollama)
-- [gen.nvim](https://github.com/David-Kunz/gen.nvim)
-- [ollama.nvim](https://github.com/nomnivore/ollama.nvim)
-- [ollero.nvim](https://github.com/marco-souza/ollero.nvim)
-- [ollama-chat.nvim](https://github.com/gerazov/ollama-chat.nvim)
-- [ogpt.nvim](https://github.com/huynle/ogpt.nvim)
-- [gptel Emacs client](https://github.com/karthink/gptel)
-- [Oatmeal](https://github.com/dustinblackman/oatmeal)
-- [cmdh](https://github.com/pgibler/cmdh)
-- [ooo](https://github.com/npahlfer/ooo)
-- [shell-pilot](https://github.com/reid41/shell-pilot)
-- [tenere](https://github.com/pythops/tenere)
-- [llm-ollama](https://github.com/taketwo/llm-ollama) for [Datasette's LLM CLI](https://llm.datasette.io/en/stable/).
-- [typechat-cli](https://github.com/anaisbetts/typechat-cli)
-- [ShellOracle](https://github.com/djcopley/ShellOracle)
-- [tlm](https://github.com/yusufcanb/tlm)
-- [podman-ollama](https://github.com/ericcurtin/podman-ollama)
-- [gollama](https://github.com/sammcj/gollama)
-- [Ollama eBook Summary](https://github.com/cognitivetech/ollama-ebook-summary/)
-
-### Database
-
-- [MindsDB](https://github.com/mindsdb/mindsdb/blob/staging/mindsdb/integrations/handlers/ollama_handler/README.md) (Connects Ollama models with nearly 200 data platforms and apps)
-- [chromem-go](https://github.com/philippgille/chromem-go/blob/v0.5.0/embed_ollama.go) with [example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama)
-
-### Package managers
-
-- [Pacman](https://archlinux.org/packages/extra/x86_64/ollama/)
-- [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama)
-- [Guix channel](https://codeberg.org/tusharhero/ollama-guix)
-
-### Libraries
-
-- [LangChain](https://python.langchain.com/docs/integrations/llms/ollama) and [LangChain.js](https://js.langchain.com/docs/modules/model_io/models/llms/integrations/ollama) with [example](https://js.langchain.com/docs/use_cases/question_answering/local_retrieval_qa)
-- [Firebase Genkit](https://firebase.google.com/docs/genkit/plugins/ollama)
-- [LangChainGo](https://github.com/tmc/langchaingo/) with [example](https://github.com/tmc/langchaingo/tree/main/examples/ollama-completion-example)
-- [LangChain4j](https://github.com/langchain4j/langchain4j) with [example](https://github.com/langchain4j/langchain4j-examples/tree/main/ollama-examples/src/main/java)
-- [LangChainRust](https://github.com/Abraxas-365/langchain-rust) with [example](https://github.com/Abraxas-365/langchain-rust/blob/main/examples/llm_ollama.rs)
-- [LlamaIndex](https://gpt-index.readthedocs.io/en/stable/examples/llm/ollama.html)
-- [LiteLLM](https://github.com/BerriAI/litellm)
-- [OllamaSharp for .NET](https://github.com/awaescher/OllamaSharp)
-- [Ollama for Ruby](https://github.com/gbaptista/ollama-ai)
-- [Ollama-rs for Rust](https://github.com/pepperoni21/ollama-rs)
-- [Ollama-hpp for C++](https://github.com/jmont-dev/ollama-hpp)
-- [Ollama4j for Java](https://github.com/amithkoujalgi/ollama4j)
-- [ModelFusion Typescript Library](https://modelfusion.dev/integration/model-provider/ollama)
-- [OllamaKit for Swift](https://github.com/kevinhermawan/OllamaKit)
-- [Ollama for Dart](https://github.com/breitburg/dart-ollama)
-- [Ollama for Laravel](https://github.com/cloudstudio/ollama-laravel)
-- [LangChainDart](https://github.com/davidmigloz/langchain_dart)
-- [Semantic Kernel - Python](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/ai/ollama)
-- [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md)
-- [Elixir LangChain](https://github.com/brainlid/langchain)
-- [Ollama for R - rollama](https://github.com/JBGruber/rollama)
-- [Ollama for R - ollama-r](https://github.com/hauselin/ollama-r)
-- [Ollama-ex for Elixir](https://github.com/lebrunel/ollama-ex)
-- [Ollama Connector for SAP ABAP](https://github.com/b-tocs/abap_btocs_ollama)
-- [Testcontainers](https://testcontainers.com/modules/ollama/)
-- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama)
-- [PromptingTools.jl](https://github.com/svilupp/PromptingTools.jl) with an [example](https://svilupp.github.io/PromptingTools.jl/dev/examples/working_with_ollama)
-- [LlamaScript](https://github.com/Project-Llama/llamascript)
-
-### Mobile
-
-- [Enchanted](https://github.com/AugustDev/enchanted)
-- [Maid](https://github.com/Mobile-Artificial-Intelligence/maid)
-
-### Extensions & Plugins
-
-- [Raycast extension](https://github.com/MassimilianoPasquini97/raycast_ollama)
-- [Discollama](https://github.com/mxyng/discollama) (Discord bot inside the Ollama discord channel)
-- [Continue](https://github.com/continuedev/continue)
-- [Obsidian Ollama plugin](https://github.com/hinterdupfinger/obsidian-ollama)
-- [Logseq Ollama plugin](https://github.com/omagdy7/ollama-logseq)
-- [NotesOllama](https://github.com/andersrex/notesollama) (Apple Notes Ollama plugin)
-- [Dagger Chatbot](https://github.com/samalba/dagger-chatbot)
-- [Discord AI Bot](https://github.com/mekb-turtle/discord-ai-bot)
-- [Ollama Telegram Bot](https://github.com/ruecat/ollama-telegram)
-- [Hass Ollama Conversation](https://github.com/ej52/hass-ollama-conversation)
-- [Rivet plugin](https://github.com/abrenneke/rivet-plugin-ollama)
-- [Obsidian BMO Chatbot plugin](https://github.com/longy2k/obsidian-bmo-chatbot)
-- [Cliobot](https://github.com/herval/cliobot) (Telegram bot with Ollama support)
-- [Copilot for Obsidian plugin](https://github.com/logancyang/obsidian-copilot)
-- [Obsidian Local GPT plugin](https://github.com/pfrankov/obsidian-local-gpt)
-- [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama)
-- [Llama Coder](https://github.com/ex3ndr/llama-coder) (Copilot alternative using Ollama)
-- [Ollama Copilot](https://github.com/bernardo-bruning/ollama-copilot) (Proxy that allows you to use ollama as a copilot like Github copilot)
-- [twinny](https://github.com/rjmacarthy/twinny) (Copilot and Copilot chat alternative using Ollama)
-- [Wingman-AI](https://github.com/RussellCanfield/wingman-ai) (Copilot code and chat alternative using Ollama and Hugging Face)
-- [Page Assist](https://github.com/n4ze3m/page-assist) (Chrome Extension)
-- [AI Telegram Bot](https://github.com/tusharhero/aitelegrambot) (Telegram bot using Ollama in backend)
-- [AI ST Completion](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (Sublime Text 4 AI assistant plugin with Ollama support)
-- [Discord-Ollama Chat Bot](https://github.com/kevinthedang/discord-ollama) (Generalized TypeScript Discord Bot w/ Tuning Documentation)
-- [Discord AI chat/moderation bot](https://github.com/rapmd73/Companion) Chat/moderation bot written in python. Uses Ollama to create personalities.
-- [Headless Ollama](https://github.com/nischalj10/headless-ollama) (Scripts to automatically install ollama client & models on any OS for apps that depends on ollama server)
-
-### Supported backends
-
-- [llama.cpp](https://github.com/ggerganov/llama.cpp) project founded by Georgi Gerganov.
+## 参考资料
 
+* https://github.com/ollama/ollama
+* https://github.com/ggerganov/llama.cpp