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https://github.com/QYG2297248353/appstore-1panel.git
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97 lines
3.0 KiB
Markdown
97 lines
3.0 KiB
Markdown
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# Ollama
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一站式大模型部署平台
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<img height="128px" src="https://file.lifebus.top/apps/ollama/logo.png" width="128px"/>
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## 模型列表
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Ollama支持可用的型号列表 [ollama.com/library](https://ollama.com/library 'Ollama 模型库)
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下面是一些可以下载的示例模型:
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| Model | Parameters | Size | Download |
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|--------------------|------------|-------|----------------------------------|
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| DeepSeek-R1 | 7B | 4.7GB | `ollama run deepseek-r1` |
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| DeepSeek-R1 | 671B | 404GB | `ollama run deepseek-r1:671b` |
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| Llama 3.3 | 70B | 43GB | `ollama run llama3.3` |
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| Llama 3.2 | 3B | 2.0GB | `ollama run llama3.2` |
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| Llama 3.2 | 1B | 1.3GB | `ollama run llama3.2:1b` |
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| Llama 3.2 Vision | 11B | 7.9GB | `ollama run llama3.2-vision` |
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| Llama 3.2 Vision | 90B | 55GB | `ollama run llama3.2-vision:90b` |
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| Llama 3.1 | 8B | 4.7GB | `ollama run llama3.1` |
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| Llama 3.1 | 405B | 231GB | `ollama run llama3.1:405b` |
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| Phi 4 | 14B | 9.1GB | `ollama run phi4` |
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| Phi 3 Mini | 3.8B | 2.3GB | `ollama run phi3` |
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| Gemma 2 | 2B | 1.6GB | `ollama run gemma2:2b` |
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| Gemma 2 | 9B | 5.5GB | `ollama run gemma2` |
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| Gemma 2 | 27B | 16GB | `ollama run gemma2:27b` |
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| Mistral | 7B | 4.1GB | `ollama run mistral` |
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| Moondream 2 | 1.4B | 829MB | `ollama run moondream` |
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| Neural Chat | 7B | 4.1GB | `ollama run neural-chat` |
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| Starling | 7B | 4.1GB | `ollama run starling-lm` |
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| Code Llama | 7B | 3.8GB | `ollama run codellama` |
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| Llama 2 Uncensored | 7B | 3.8GB | `ollama run llama2-uncensored` |
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| LLaVA | 7B | 4.5GB | `ollama run llava` |
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| Solar | 10.7B | 6.1GB | `ollama run solar` |
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> 您应该至少有8 GB的RAM来运行7B型号，16 GB来运行13B型号，32 GB来运行33B型号。
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## 基本命令
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### 拉取一个模型
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```sh
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ollama pull llama3.2
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```
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此命令也可用于更新本地模型。仅拉取差异。
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### 移除一个模型
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```sh
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ollama rm llama3.2
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```
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### 复制一个模型
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```sh
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ollama cp llama3.2 my-model
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```
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### 显示模型信息
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```sh
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ollama show llama3.2
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```
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### 列出你电脑上的所有模型
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```sh
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ollama list
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```
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### 列出当前已加载的模型
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```sh
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ollama ps
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```
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### 停止正在运行的模型
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```sh
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ollama stop llama3.2
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```
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### 启动 Ollama
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```sh
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ollama serve
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```
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---
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