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编译安装ollama,参见:尝试FreeBSD下安装ollama-CSDN博客
ollama编译安装@focal jammy Ubuntu @FreeBSD jail-CSDN博客
- ./ollama run phi3
- Error: could not connect to ollama app, is it running?
有报错,原来要启动服务:
./ollama serve
这时候再执行./ollama run phi3 就正常了
Here are some example models that can be downloaded:
Model | Parameters | Size | Download |
---|---|---|---|
Llama 3 | 8B | 4.7GB | ollama run llama3 |
Llama 3 | 70B | 40GB | ollama run llama3:70b |
Phi 3 Mini | 3.8B | 2.3GB | ollama run phi3 |
Phi 3 Medium | 14B | 7.9GB | ollama run phi3:medium |
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 |
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.
Ollama supports importing GGUF models in the Modelfile:
Create a file named Modelfile
, with a FROM
instruction with the local filepath to the model you want to import.
FROM ./vicuna-33b.Q4_0.gguf
Create the model in Ollama
ollama create example -f Modelfile
Run the model
ollama run example
See the guide on importing models for more information.
Models from the Ollama library can be customized with a prompt. For example, to customize the llama3
model:
ollama pull llama3
Create a Modelfile
:
- FROM llama3
-
- # 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 directory. For more information on working with a Modelfile, see the Modelfile documentation.
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