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Xi Yan
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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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@ -0,0 +1,64 @@
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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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@ -8,6 +8,10 @@ We offer deployable distributions where you can host your own Llama Stack server
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| Meta Reference Quantized | [llamastack/distribution-meta-reference-quantized-gpu](https://hub.docker.com/repository/docker/llamastack/distribution-meta-reference-quantized-gpu/general) | [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/meta-reference-quantized-gpu.html) | meta-reference-quantized | meta-reference | meta-reference; remote::pgvector; remote::chromadb | meta-reference | meta-reference |
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| Ollama | [llamastack/distribution-ollama](https://hub.docker.com/repository/docker/llamastack/distribution-ollama/general) | [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/ollama.html) | remote::ollama | meta-reference | remote::pgvector; remote::chromadb | meta-reference | meta-reference |
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| TGI | [llamastack/distribution-tgi](https://hub.docker.com/repository/docker/llamastack/distribution-tgi/general) | [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/tgi.html) | remote::tgi | meta-reference | meta-reference; remote::pgvector; remote::chromadb | meta-reference | meta-reference |
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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/self_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/self_hosted_distro/fireworks.html) | remote::fireworks | meta-reference | remote::weaviate | meta-reference | meta-reference |
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| Bedrock | [llamastack/distribution-bedrock](https://hub.docker.com/repository/docker/llamastack/distribution-bedrock/general) | [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/bedrock.html) | remote::bedrock | meta-reference | remote::weaviate | meta-reference | meta-reference |
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```{toctree}
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:maxdepth: 1
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@ -17,4 +21,7 @@ meta-reference-quantized-gpu
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ollama
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tgi
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dell-tgi
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together
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fireworks
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bedrock
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```
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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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