## Generation/Completion/Chat Completion Models
### OpenAI Chat Completion Models
| Model Name | Function Call | Required OS Variables |
|------------------|----------------------------------------|--------------------------------------|
| gpt-3.5-turbo | `completion('gpt-3.5-turbo', messages)` | `os.environ['OPENAI_API_KEY']` |
| gpt-3.5-turbo-16k | `completion('gpt-3.5-turbo-16k', messages)` | `os.environ['OPENAI_API_KEY']` |
| gpt-3.5-turbo-16k-0613 | `completion('gpt-3.5-turbo-16k-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
| gpt-4 | `completion('gpt-4', messages)` | `os.environ['OPENAI_API_KEY']` |
## Azure OpenAI Chat Completion Models
| Model Name | Function Call | Required OS Variables |
|------------------|-----------------------------------------|-------------------------------------------|
| gpt-3.5-turbo | `completion('gpt-3.5-turbo', messages, azure=True)` | `os.environ['AZURE_API_KEY']`,
`os.environ['AZURE_API_BASE']`,
`os.environ['AZURE_API_VERSION']` |
| gpt-4 | `completion('gpt-4', messages, azure=True)` | `os.environ['AZURE_API_KEY']`,
`os.environ['AZURE_API_BASE']`,
`os.environ['AZURE_API_VERSION']` |
### OpenAI Text Completion Models
| Model Name | Function Call | Required OS Variables |
|------------------|--------------------------------------------|--------------------------------------|
| text-davinci-003 | `completion('text-davinci-003', messages)` | `os.environ['OPENAI_API_KEY']` |
### Cohere Models
| Model Name | Function Call | Required OS Variables |
|------------------|--------------------------------------------|--------------------------------------|
| command-nightly | `completion('command-nightly', messages)` | `os.environ['COHERE_API_KEY']` |
### Anthropic Models
| Model Name | Function Call | Required OS Variables |
|------------------|--------------------------------------------|--------------------------------------|
| claude-instant-1 | `completion('claude-instant-1', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
| claude-2 | `completion('claude-2', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
### Hugging Face Inference API
All [`text2text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text2text-generation&sort=downloads) and [`text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text-generation&sort=downloads) models are supported by liteLLM. You can use any text model from Hugging Face with the following steps:
* Copy the `model repo` URL from Hugging Face and set it as the `model` parameter in the completion call.
* Set `hugging_face` parameter to `True`.
* Make sure to set the hugging face API key
Here are some examples of supported models:
**Note that the models mentioned in the table are examples, and you can use any text model available on Hugging Face by following the steps above.**
| Model Name | Function Call | Required OS Variables |
|------------------|-------------------------------------------------------------------------------------|--------------------------------------|
| [stabilityai/stablecode-completion-alpha-3b-4k](https://huggingface.co/stabilityai/stablecode-completion-alpha-3b-4k) | `completion(model="stabilityai/stablecode-completion-alpha-3b-4k", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']` |
| [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) | `completion(model="bigcode/starcoder", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']` |
| [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl) | `completion(model="google/flan-t5-xxl", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']` |
| [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) | `completion(model="google/flan-t5-large", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']` |