Models
HuggingFace
Example
HuggingFace Params
| Parameter | Type | Default | Description |
|---|---|---|---|
id | str | "meta-llama/Meta-Llama-3-8B-Instruct" | The id of the HuggingFace model to use. |
name | str | "HuggingFaceChat" | The name of this chat model instance. |
provider | str | "HuggingFace" | The provider of the model. |
store | Optional[bool] | - | Whether or not to store the output of this chat completion request. |
frequency_penalty | Optional[float] | - | Penalizes new tokens based on their frequency in the text so far. |
logit_bias | Optional[Any] | - | Modifies the likelihood of specified tokens appearing in the completion. |
logprobs | Optional[bool] | - | Include the log probabilities on the logprobs most likely tokens. |
max_tokens | Optional[int] | - | The maximum number of tokens to generate in the chat completion. |
presence_penalty | Optional[float] | - | Penalizes new tokens based on whether they appear in the text so far. |
response_format | Optional[Any] | - | An object specifying the format that the model must output. |
seed | Optional[int] | - | A seed for deterministic sampling. |
stop | Optional[Union[str, List[str]]] | - | Up to 4 sequences where the API will stop generating further tokens. |
temperature | Optional[float] | - | Controls randomness in the model's output. |
top_logprobs | Optional[int] | - | How many log probability results to return per token. |
top_p | Optional[float] | - | Controls diversity via nucleus sampling. |
request_params | Optional[Dict[str, Any]] | - | Additional parameters to include in the request. |
api_key | Optional[str] | - | The Access Token for authenticating with HuggingFace. |
base_url | Optional[Union[str, httpx.URL]] | - | The base URL for API requests. |
timeout | Optional[float] | - | The timeout for API requests. |
max_retries | Optional[int] | - | The maximum number of retries for failed requests. |
default_headers | Optional[Any] | - | Default headers to include in all requests. |
default_query | Optional[Any] | - | Default query parameters to include in all requests. |
http_client | Optional[httpx.Client] | - | An optional pre-configured HTTP client. |
client_params | Optional[Dict[str, Any]] | - | Additional parameters for client configuration. |
client | Optional[InferenceClient] | - | The HuggingFace Hub Inference client instance. |
async_client | Optional[AsyncInferenceClient] | - | The asynchronous HuggingFace Hub client instance. |
HuggingFaceChat is a subclass of the Model class and has access to the same params.