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Update databricks.md
fixes a couple of examples to use correct endpoints/point to correct models
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1 changed files with 6 additions and 7 deletions
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@ -143,13 +143,13 @@ response = completion(
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model_list:
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- model_name: llama-3
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litellm_params:
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model: databricks/databricks-dbrx-instruct
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model: databricks/databricks-meta-llama-3-70b-instruct
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api_key: os.environ/DATABRICKS_API_KEY
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max_tokens: 20
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temperature: 0.5
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```
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## Passings Database specific params - 'instruction'
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## Passings Databricks specific params - 'instruction'
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For embedding models, databricks lets you pass in an additional param 'instruction'. [Full Spec](https://github.com/BerriAI/litellm/blob/43353c28b341df0d9992b45c6ce464222ebd7984/litellm/llms/databricks.py#L164)
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@ -177,14 +177,13 @@ response = litellm.embedding(
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- model_name: bge-large
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litellm_params:
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model: databricks/databricks-bge-large-en
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api_key: os.environ/DATABRICKS_API_KEY
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api_base: os.environ/DATABRICKS_API_BASE
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api_key: ${DATABRICKS_API_KEY}
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api_base: ${DATABRICKS_API_BASE}
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instruction: "Represent this sentence for searching relevant passages:"
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```
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## Supported Databricks Chat Completion Models
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Here's an example of using a Databricks models with LiteLLM
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| Model Name | Command |
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|----------------------------|------------------------------------------------------------------|
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@ -196,8 +195,8 @@ Here's an example of using a Databricks models with LiteLLM
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| databricks-mpt-7b-instruct | `completion(model='databricks/databricks-mpt-7b-instruct', messages=messages)` |
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## Supported Databricks Embedding Models
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Here's an example of using a databricks models with LiteLLM
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| Model Name | Command |
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|----------------------------|------------------------------------------------------------------|
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| databricks-bge-large-en | `completion(model='databricks/databricks-bge-large-en', messages=messages)` |
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| databricks-bge-large-en | `embedding(model='databricks/databricks-bge-large-en', messages=messages)` |
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| databricks-gte-large-en | `embedding(model='databricks/databricks-gte-large-en', messages=messages)` |
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