Ollama

约 372 字大约 1 分钟

2025-10-13

安装部署

Docker

# 1.拉取容器
docker run -d \
  --publish 11434:11434 \
  --volume ollama:/root/.ollama \
  --name=ollama \
  ollama/ollama

# 2.执行命令
docker exec -it ollama ollama run deepseek-r1

The official Ollama Docker image ollama/ollama is available on Docker Hub.

Linux

curl -fsSL https://ollama.com/install.sh | sh

Manual install instructions

macOS

Download

Windows

Download

使用说明

curl http://localhost:11434/api/chat -d '{
  "model": "llama3.2",
  "messages": [
    { "role": "user", "content": "why is the sky blue?" }
  ]
}'

模型库

Ollama supports a list of models available on ollama.com/library

Here are some example models that can be downloaded:

Model	Parameters	Size	Download
Gemma 3	1B	815MB	`ollama run gemma3:1b`
Gemma 3	4B	3.3GB	`ollama run gemma3`
Gemma 3	12B	8.1GB	`ollama run gemma3:12b`
Gemma 3	27B	17GB	`ollama run gemma3:27b`
QwQ	32B	20GB	`ollama run qwq`
DeepSeek-R1	7B	4.7GB	`ollama run deepseek-r1`
DeepSeek-R1	671B	404GB	`ollama run deepseek-r1:671b`
Llama 4	109B	67GB	`ollama run llama4:scout`
Llama 4	400B	245GB	`ollama run llama4:maverick`
Llama 3.3	70B	43GB	`ollama run llama3.3`
Llama 3.2	3B	2.0GB	`ollama run llama3.2`
Llama 3.2	1B	1.3GB	`ollama run llama3.2:1b`
Llama 3.2 Vision	11B	7.9GB	`ollama run llama3.2-vision`
Llama 3.2 Vision	90B	55GB	`ollama run llama3.2-vision:90b`
Llama 3.1	8B	4.7GB	`ollama run llama3.1`
Llama 3.1	405B	231GB	`ollama run llama3.1:405b`
Phi 4	14B	9.1GB	`ollama run phi4`
Phi 4 Mini	3.8B	2.5GB	`ollama run phi4-mini`
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`
Granite-3.3	8B	4.9GB	`ollama run granite3.3`

注

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.