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Update How-to-use-different-LLM.md
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@@ -23,11 +23,9 @@ You can omit the keys if users provide their own. Ensure you set `LLM_NAME` and
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- anthropic ([More details](https://docs.anthropic.com/claude/reference/selecting-a-model))
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- manifest ([More details](https://python.langchain.com/docs/integrations/llms/manifest))
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- cohere ([More details](https://docs.cohere.com/docs/llmu))
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- Arc53/DocsGPT-7B ([More details](https://huggingface.co/Arc53/DocsGPT-7B))
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- Arc53/docsgpt-14b ([More details](https://huggingface.co/Arc53/docsgpt-14b))
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- Arc53/docsgpt-7b-falcon ([More details](https://huggingface.co/Arc53/docsgpt-7b-falcon))
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- Arc53/docsgpt-40b-falcon ([More details](https://huggingface.co/Arc53/docsgpt-40b-falcon))
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- llama.cpp ([More details](https://python.langchain.com/docs/integrations/llms/llamacpp))
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- huggingface (Choose any model inside application/llm/huggingface.py or pass llm_name on init, loads Arc53/DocsGPT-7B by default)
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- sagemaker ([Mode details](https://aws.amazon.com/sagemaker/))
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**Options for `EMBEDDINGS_NAME`:**
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- openai_text-embedding-ada-002
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