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docs: recheck conda env and fix accordingly

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seyeong-han 2024-11-30 12:00:43 -06:00
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llama_stack/templates/sambanova/doc_template.md
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@ -41,37 +41,29 @@ Make sure you have access to a Sambanova API Key. You can get one by visiting [S
## Running Llama Stack with Sambanova ## Running Llama Stack with Sambanova
You can do this via Conda (build code) or Docker which has a pre-built image. You can do this via Conda (build code).
### Available INFERENCE_MODEL ### Available INFERENCE_MODEL
- Meta-Llama-3.1-8B-Instruct - meta-llama/Llama-3.1-8B-Instruct
- Meta-Llama-3.1-70B-Instruct - meta-llama/Llama-3.1-70B-Instruct
- Meta-Llama-3.1-405B-Instruct - meta-llama/Llama-3.1-405B-Instruct
- Meta-Llama-3.2-1B-Instruct - meta-llama/Llama-3.2-1B-Instruct
- Meta-Llama-3.2-3B-Instruct - meta-llama/Llama-3.2-3B-Instruct
### Via Docker
This method allows you to get started quickly without having to build the distribution code.
```bash
LLAMA_STACK_PORT=5001
docker run \
-it \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
llamastack/distribution-{{ name }} \
--port $LLAMA_STACK_PORT \
--env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY \
--env INFERENCE_MODEL=$INFERENCE_MODEL
```
### Via Conda ### Via Conda
```bash ```bash
llama stack build --template sambanova --image-type conda llama stack build --template sambanova --image-type conda
llama stack run ./run.yaml \
conda activate llamastack-sambanova
export SAMBANOVA_API_KEY={YOUR_API_KEY}
export INFERENCE_MODEL={CHOOSE_AND_FIND_AVAILABLE_MODEL_ABOVE}
llama stack run \
--port $LLAMA_STACK_PORT \ --port $LLAMA_STACK_PORT \
--env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY \ --env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY \
--env INFERENCE_MODEL=$INFERENCE_MODEL --env INFERENCE_MODEL=$INFERENCE_MODEL \
sambanova
``` ```