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Update private_gpt/components/llm/llm_component.py
Browse files
private_gpt/components/llm/llm_component.py
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@@ -60,16 +60,48 @@ class LLMComponent:
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case "mock":
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self.llm = MockLLM()
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@inject
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def switch_model(self, new_model: str, settings: Settings) -> None:
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openai_settings = settings.openai.api_key
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case "mock":
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self.llm = MockLLM()
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case "dynamic":
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from llama_index.llms import OpenAI
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openai_settings = settings.openai.api_key
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#default startup
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logger.info("Initializing the GPT Model in=%s", "gpt-3.5-turbo")
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self.llm = OpenAI(model="gpt-3.5-turbo", api_key=os.environ.get("OPENAI_API_KEY"))
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@inject
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def switch_model(self, new_model: str, settings: Settings) -> None:
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from llama_index.llms import LlamaCPP
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openai_settings = settings.openai.api_key
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if new_model == "gpt-3.5-turbo":
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self.llm = OpenAI(model="gpt-3.5-turbo", api_key=os.environ.get("OPENAI_API_KEY"))
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elif new_model == "gpt-4":
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# Initialize with the new model
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self.llm = OpenAI(model="gpt-4", api_key=os.environ.get("OPENAI_API_KEY"))
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logger.info("Initializing the GPT Model in=%s", "gpt-4")
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elif new_model == "mistral-7B":
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prompt_style_cls = get_prompt_style(settings.local.prompt_style)
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prompt_style = prompt_style_cls(
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default_system_prompt=settings.local.default_system_prompt
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)
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self.llm = LlamaCPP(
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model_path=str(models_path / settings.local.llm_hf_model_file),
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#model_url= "https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF/resolve/main/mistral-7b-instruct-v0.1.Q4_K_M.gguf?download=true",
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temperature=0.1,
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max_new_tokens=settings.llm.max_new_tokens,
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context_window=3900,
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generate_kwargs={},
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model_kwargs={"n_gpu_layers": -1},
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messages_to_prompt=prompt_style.messages_to_prompt,
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completion_to_prompt=prompt_style.completion_to_prompt,
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verbose=True,
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)
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