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91 lines
2.7 KiB
Markdown
91 lines
2.7 KiB
Markdown
# Ollama Distribution
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The `llamastack/distribution-ollama` distribution consists of the following provider configurations.
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| **API** | **Inference** | **Agents** | **Memory** | **Safety** | **Telemetry** |
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|----------------- |---------------- |---------------- |---------------------------------- |---------------- |---------------- |
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| **Provider(s)** | remote::ollama | meta-reference | remote::pgvector, remote::chroma | remote::ollama | meta-reference |
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### Start a Distribution (Single Node GPU)
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> [!NOTE]
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> This assumes you have access to GPU to start a Ollama server with access to your GPU.
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```
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$ cd llama-stack/distribution/ollama/gpu
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$ ls
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compose.yaml run.yaml
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$ docker compose up
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```
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You will see outputs similar to following ---
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```
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[ollama] | [GIN] 2024/10/18 - 21:19:41 | 200 | 226.841µs | ::1 | GET "/api/ps"
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[ollama] | [GIN] 2024/10/18 - 21:19:42 | 200 | 60.908µs | ::1 | GET "/api/ps"
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INFO: Started server process [1]
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INFO: Waiting for application startup.
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INFO: Application startup complete.
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INFO: Uvicorn running on http://[::]:5000 (Press CTRL+C to quit)
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[llamastack] | Resolved 12 providers
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[llamastack] | inner-inference => ollama0
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[llamastack] | models => __routing_table__
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[llamastack] | inference => __autorouted__
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```
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To kill the server
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```
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docker compose down
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```
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### Start the Distribution (Single Node CPU)
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> [!NOTE]
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> This will start an ollama server with CPU only, please see [Ollama Documentations](https://github.com/ollama/ollama) for serving models on CPU only.
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```
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$ cd llama-stack/distribution/ollama/cpu
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$ ls
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compose.yaml run.yaml
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$ docker compose up
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```
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### (Alternative) ollama run + llama stack Run
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If you wish to separately spin up a Ollama server, and connect with Llama Stack, you may use the following commands.
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#### Start Ollama server.
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- Please check the [Ollama Documentations](https://github.com/ollama/ollama) for more details.
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**Via Docker**
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```
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docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
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```
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**Via CLI**
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```
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ollama run <model_id>
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```
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#### Start Llama Stack server pointing to Ollama server
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**Via Docker**
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```
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docker run --network host -it -p 5000:5000 -v ~/.llama:/root/.llama -v ./gpu/run.yaml:/root/llamastack-run-ollama.yaml --gpus=all distribution-ollama --yaml_config /root/llamastack-run-ollama.yaml
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```
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Make sure in you `run.yaml` file, you inference provider is pointing to the correct Ollama endpoint. E.g.
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```
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inference:
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- provider_id: ollama0
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provider_type: remote::ollama
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config:
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url: http://127.0.0.1:14343
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```
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**Via Conda**
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```
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llama stack build --config ./build.yaml
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llama stack run ./gpu/run.yaml
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```
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