49 lines
1.2 KiB
Python
49 lines
1.2 KiB
Python
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from llmware.prompts import Prompt
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from llmware.models import ModelCatalog
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# Registered by default
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# --dragon models: dragon-mistral-7b-gguf | dragon-yi-6b-gguf | dragon-llama-7b-gguf
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# --The Bloke leading 7b chat models: llama2-chat | openhermes | zephyr | starling
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# example 1 - how to use a default gguf model in llmware
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def use_default_gguf_model():
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selected_gguf_model = "llmware/dragon-mistral-7b-gguf"
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prompter = Prompt().load_model(selected_gguf_model)
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response = prompter.prompt_main("How old am I?", context="I am 36 years old.")
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print("response: ", response)
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return response
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response = use_default_gguf_model()
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# example 2 - how to use any GGUF model from The Bloke on HuggingFace
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def register_gguf_model():
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prompter = Prompt()
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your_model_name = "my_gguf_model_1"
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hf_repo_name = "TheBloke/model_name"
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model_file = "abc.gguf"
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prompter.model_catalog.register_gguf_model(your_model_name,hf_repo_name, model_file, prompt_wrapper="open_chat")
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prompter.load_model(your_model_name)
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return 0
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# example 3 - how to use build-from-source custom/optimized llama.cpp
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def build_your_own_llama_cpp_lib():
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import os
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os.environ["GGUF_CUSTOM_LIB_PATH"] = "/path/to/your/custom/lib"
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return 0
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