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feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin
- remove auto-download of ollama embedding models - add embedding model metadata to dynamic listing w/ unit test - add support and tests for allowed_models - removed inference provider models.py files where dynamic listing is enabled - store embedding metadata in embedding_model_metadata field on inference providers - make model_entries optional on ModelRegistryHelper and LiteLLMOpenAIMixin - make OpenAIMixin a ModelRegistryHelper - skip base64 embedding test for remote::ollama, always returns floats - only use OpenAI client for ollama model listing - remove unused build_model_entry function - remove unused get_huggingface_repo function
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@ -37,25 +37,6 @@ The following environment variables can be configured:
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- `INFERENCE_MODEL`: Inference model (default: `Llama3.1-8B-Instruct`)
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- `SAFETY_MODEL`: Name of the model to use for safety (default: `meta/llama-3.1-8b-instruct`)
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### Models
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The following models are available by default:
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- `meta/llama3-8b-instruct `
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- `meta/llama3-70b-instruct `
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- `meta/llama-3.1-8b-instruct `
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- `meta/llama-3.1-70b-instruct `
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- `meta/llama-3.1-405b-instruct `
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- `meta/llama-3.2-1b-instruct `
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- `meta/llama-3.2-3b-instruct `
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- `meta/llama-3.2-11b-vision-instruct `
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- `meta/llama-3.2-90b-vision-instruct `
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- `meta/llama-3.3-70b-instruct `
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- `nvidia/vila `
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- `nvidia/llama-3.2-nv-embedqa-1b-v2 `
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- `nvidia/nv-embedqa-e5-v5 `
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- `nvidia/nv-embedqa-mistral-7b-v2 `
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- `snowflake/arctic-embed-l `
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## Prerequisites
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