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# Bedrock Distribution
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### Connect to a Llama Stack Bedrock Endpoint
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- You may connect to Amazon Bedrock APIs for running LLM inference
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The `llamastack/distribution-bedrock` 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::bedrock | meta-reference | meta-reference | remote::bedrock | meta-reference |
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### Docker: Start the Distribution (Single Node CPU)
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> [!NOTE]
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> This assumes you have valid AWS credentials configured with access to Amazon Bedrock.
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```
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$ cd distributions/bedrock && docker compose up
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```
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Make sure in your `run.yaml` file, your inference provider is pointing to the correct AWS configuration. E.g.
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```
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inference:
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- provider_id: bedrock0
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provider_type: remote::bedrock
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config:
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aws_access_key_id: <AWS_ACCESS_KEY_ID>
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aws_secret_access_key: <AWS_SECRET_ACCESS_KEY>
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aws_session_token: <AWS_SESSION_TOKEN>
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region_name: <AWS_REGION>
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```
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### Conda llama stack run (Single Node CPU)
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```bash
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llama stack build --template bedrock --image-type conda
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# -- modify run.yaml with valid AWS credentials
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llama stack run ./run.yaml
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```
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### (Optional) Update Model Serving Configuration
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Use `llama-stack-client models list` to check the available models served by Amazon Bedrock.
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```
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$ llama-stack-client models list
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+------------------------------+------------------------------+---------------+------------+
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| identifier | llama_model | provider_id | metadata |
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+==============================+==============================+===============+============+
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| Llama3.1-8B-Instruct | meta.llama3-1-8b-instruct-v1:0 | bedrock0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.1-70B-Instruct | meta.llama3-1-70b-instruct-v1:0 | bedrock0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.1-405B-Instruct | meta.llama3-1-405b-instruct-v1:0 | bedrock0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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```
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# Fireworks Distribution
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The `llamastack/distribution-fireworks` 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::fireworks | meta-reference | meta-reference | meta-reference | meta-reference |
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### Step 0. Prerequisite
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- Make sure you have access to a fireworks API Key. You can get one by visiting [fireworks.ai](https://fireworks.ai/)
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### Step 1. Start the Distribution (Single Node CPU)
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#### (Option 1) Start Distribution Via Docker
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> [!NOTE]
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> This assumes you have an hosted endpoint at Fireworks with API Key.
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```
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$ cd distributions/fireworks && docker compose up
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```
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Make sure in you `run.yaml` file, you inference provider is pointing to the correct Fireworks URL server endpoint. E.g.
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```
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inference:
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- provider_id: fireworks
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provider_type: remote::fireworks
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config:
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url: https://api.fireworks.ai/inference
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api_key: <optional api key>
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```
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#### (Option 2) Start Distribution Via Conda
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```bash
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llama stack build --template fireworks --image-type conda
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# -- modify run.yaml to a valid Fireworks server endpoint
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llama stack run ./run.yaml
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```
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### (Optional) Model Serving
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Use `llama-stack-client models list` to check the available models served by Fireworks.
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```
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$ llama-stack-client models list
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+------------------------------+------------------------------+---------------+------------+
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| identifier | llama_model | provider_id | metadata |
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+==============================+==============================+===============+============+
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| Llama3.1-8B-Instruct | Llama3.1-8B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.1-70B-Instruct | Llama3.1-70B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.1-405B-Instruct | Llama3.1-405B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-1B-Instruct | Llama3.2-1B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-3B-Instruct | Llama3.2-3B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-11B-Vision-Instruct | Llama3.2-11B-Vision-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-90B-Vision-Instruct | Llama3.2-90B-Vision-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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```
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@ -1,15 +1,42 @@
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# Remote-Hosted Distribution
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Remote Hosted distributions are distributions connecting to remote hosted services through Llama Stack server. Inference is done through remote providers. These are useful if you have an API key for a remote inference provider like Fireworks, Together, etc.
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Remote-Hosted distributions are available endpoints serving Llama Stack API that you can directly connect to.
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| **Distribution** | **Llama Stack Docker** | Start This Distribution | **Inference** | **Agents** | **Memory** | **Safety** | **Telemetry** |
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|:----------------: |:------------------------------------------: |:-----------------------: |:------------------: |:------------------: |:------------------: |:------------------: |:------------------: |
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| Together | [llamastack/distribution-together](https://hub.docker.com/repository/docker/llamastack/distribution-together/general) | [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/remote_hosted_distro/together.html) | remote::together | meta-reference | remote::weaviate | meta-reference | meta-reference |
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| Fireworks | [llamastack/distribution-fireworks](https://hub.docker.com/repository/docker/llamastack/distribution-fireworks/general) | [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/remote_hosted_distro/fireworks.html) | remote::fireworks | meta-reference | remote::weaviate | meta-reference | meta-reference |
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| Distribution | Endpoint | Inference | Agents | Memory | Safety | Telemetry |
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|-------------|----------|-----------|---------|---------|---------|------------|
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| Together | [https://llama-stack.together.ai](https://llama-stack.together.ai) | remote::together | meta-reference | remote::weaviate | meta-reference | meta-reference |
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| Fireworks | [https://llamastack-preview.fireworks.ai](https://llamastack-preview.fireworks.ai) | remote::fireworks | meta-reference | remote::weaviate | meta-reference | meta-reference |
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```{toctree}
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:maxdepth: 1
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## Connecting to Remote-Hosted Distributions
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fireworks
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together
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You can use `llama-stack-client` to interact with these endpoints. For example, to list the available models served by the Fireworks endpoint:
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```bash
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$ pip install llama-stack-client
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$ llama-stack-client configure --endpoint https://llamastack-preview.fireworks.ai
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$ llama-stack-client models list
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```
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You will see outputs:
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```
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$ llama-stack-client models list
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+------------------------------+------------------------------+---------------+------------+
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| identifier | llama_model | provider_id | metadata |
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+==============================+==============================+===============+============+
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| Llama3.1-8B-Instruct | Llama3.1-8B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.1-70B-Instruct | Llama3.1-70B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.1-405B-Instruct | Llama3.1-405B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-1B-Instruct | Llama3.2-1B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-3B-Instruct | Llama3.2-3B-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-11B-Vision-Instruct | Llama3.2-11B-Vision-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-90B-Vision-Instruct | Llama3.2-90B-Vision-Instruct | fireworks0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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```
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Checkout the [llama-stack-client-python](https://github.com/meta-llama/llama-stack-client-python/blob/main/docs/cli_reference.md) repo for more details on how to use the `llama-stack-client` CLI. Checkout [llama-stack-app](https://github.com/meta-llama/llama-stack-apps/tree/main) for examples applications built on top of Llama Stack.
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@ -1,62 +0,0 @@
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# Together Distribution
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### Connect to a Llama Stack Together Endpoint
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- You may connect to a hosted endpoint `https://llama-stack.together.ai`, serving a Llama Stack distribution
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The `llamastack/distribution-together` 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::together | meta-reference | meta-reference, remote::weaviate | meta-reference | meta-reference |
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### Docker: Start the Distribution (Single Node CPU)
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> [!NOTE]
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> This assumes you have an hosted endpoint at Together with API Key.
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```
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$ cd distributions/together && docker compose up
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```
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Make sure in your `run.yaml` file, your inference provider is pointing to the correct Together URL server endpoint. E.g.
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```
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inference:
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- provider_id: together
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provider_type: remote::together
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config:
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url: https://api.together.xyz/v1
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api_key: <optional api key>
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```
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### Conda llama stack run (Single Node CPU)
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```bash
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llama stack build --template together --image-type conda
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# -- modify run.yaml to a valid Together server endpoint
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llama stack run ./run.yaml
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```
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### (Optional) Update Model Serving Configuration
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Use `llama-stack-client models list` to check the available models served by together.
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```
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$ llama-stack-client models list
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+------------------------------+------------------------------+---------------+------------+
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| identifier | llama_model | provider_id | metadata |
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+==============================+==============================+===============+============+
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| Llama3.1-8B-Instruct | Llama3.1-8B-Instruct | together0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.1-70B-Instruct | Llama3.1-70B-Instruct | together0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.1-405B-Instruct | Llama3.1-405B-Instruct | together0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-3B-Instruct | Llama3.2-3B-Instruct | together0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-11B-Vision-Instruct | Llama3.2-11B-Vision-Instruct | together0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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| Llama3.2-90B-Vision-Instruct | Llama3.2-90B-Vision-Instruct | together0 | {} |
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+------------------------------+------------------------------+---------------+------------+
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```
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