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Merge pull request #926 from eltociear/patch-2

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docs: update additional_configurations.md
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2024-05-28 08:50:33 +03:00
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docs/docs/usage-guide/additional_configurations.md
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@ -59,12 +59,12 @@ and set in your configuration file:
model="" # the OpenAI model you've deployed on Azure (e.g. gpt-3.5-turbo)
```
### Huggingface
### Hugging Face
**Local**
You can run Huggingface models locally through either [VLLM](https://docs.litellm.ai/docs/providers/vllm) or [Ollama](https://docs.litellm.ai/docs/providers/ollama)
You can run Hugging Face models locally through either [VLLM](https://docs.litellm.ai/docs/providers/vllm) or [Ollama](https://docs.litellm.ai/docs/providers/ollama)
E.g. to use a new Huggingface model locally via Ollama, set:
E.g. to use a new Hugging Face model locally via Ollama, set:
```
[__init__.py]
MAX_TOKENS = {
@ -82,14 +82,14 @@ model = "ollama/llama2"
model_turbo = "ollama/llama2"
[ollama] # in .secrets.toml
api_base = ... # the base url for your huggingface inference endpoint
api_base = ... # the base url for your Hugging Face inference endpoint
# e.g. if running Ollama locally, you may use:
api_base = "http://localhost:11434/"
```
### Inference Endpoints
To use a new model with Huggingface Inference Endpoints, for example, set:
To use a new model with Hugging Face Inference Endpoints, for example, set:
```
[__init__.py]
MAX_TOKENS = {
@ -105,8 +105,8 @@ model = "huggingface/meta-llama/Llama-2-7b-chat-hf"
model_turbo = "huggingface/meta-llama/Llama-2-7b-chat-hf"
[huggingface] # in .secrets.toml
key = ... # your huggingface api key
api_base = ... # the base url for your huggingface inference endpoint
key = ... # your Hugging Face api key
api_base = ... # the base url for your Hugging Face inference endpoint
```
(you can obtain a Llama2 key from [here](https://replicate.com/replicate/llama-2-70b-chat/api))