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Change HuggingFaceTGIChatGenerator default model to HuggingFaceH4/zephyr-7b-beta (#6920)
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@ -35,7 +35,7 @@ class HuggingFaceTGIChatGenerator:
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ChatMessage.from_user("What's Natural Language Processing?")]
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client = HuggingFaceTGIChatGenerator(model="meta-llama/Llama-2-70b-chat-hf", token=Secret.from_token("<your-api-key>"))
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client = HuggingFaceTGIChatGenerator(model="HuggingFaceH4/zephyr-7b-beta", token=Secret.from_token("<your-api-key>"))
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client.warm_up()
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response = client.run(messages, generation_kwargs={"max_new_tokens": 120})
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print(response)
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@ -51,7 +51,7 @@ class HuggingFaceTGIChatGenerator:
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messages = [ChatMessage.from_system("\\nYou are a helpful, respectful and honest assistant"),
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ChatMessage.from_user("What's Natural Language Processing?")]
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client = HuggingFaceTGIChatGenerator(model="meta-llama/Llama-2-70b-chat-hf",
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client = HuggingFaceTGIChatGenerator(model="HuggingFaceH4/zephyr-7b-beta",
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url="<your-tgi-endpoint-url>",
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token=Secret.from_token("<your-api-key>"))
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client.warm_up()
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@ -85,7 +85,7 @@ class HuggingFaceTGIChatGenerator:
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def __init__(
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self,
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model: str = "meta-llama/Llama-2-13b-chat-hf",
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model: str = "HuggingFaceH4/zephyr-7b-beta",
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url: Optional[str] = None,
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token: Optional[Secret] = Secret.from_env_var("HF_API_TOKEN", strict=False),
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chat_template: Optional[str] = None,
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@ -96,7 +96,7 @@ class HuggingFaceTGIChatGenerator:
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"""
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Initialize the HuggingFaceTGIChatGenerator instance.
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:param model: A string representing the model path or URL. Default is "meta-llama/Llama-2-13b-chat-hf".
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:param model: A string representing the model path or URL. Default is "HuggingFaceH4/zephyr-7b-beta".
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:param url: An optional string representing the URL of the TGI endpoint.
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:param chat_template: This optional parameter allows you to specify a Jinja template for formatting chat
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messages. While high-quality and well-supported chat models typically include their own chat templates
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