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chore: import upstream snapshot with attribution
2026-07-13 13:34:55 +08:00

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Python

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