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✨ download ggml weights from huggingface_hub
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@ -6,6 +6,7 @@ import time
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from textwrap import dedent
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import click
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from huggingface_hub import hf_hub_download
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from llama_cpp import Llama
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from nio import AsyncClient, MatrixRoom, RoomMessageText
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@ -22,6 +23,7 @@ class LLMClient(AsyncClient):
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device_id: str,
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preprompt: str,
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room: str,
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ggml_path: str,
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):
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"""Create a new LLMClient instance."""
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super().__init__(
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@ -37,7 +39,7 @@ class LLMClient(AsyncClient):
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# create the Llama instance
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self.llm = Llama(
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model_path="../../../llama.cpp/models/sv13B/stable-vicuna-13B.ggml.q5_1.bin",
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model_path=ggml_path,
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n_threads=12,
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)
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@ -88,7 +90,7 @@ class LLMClient(AsyncClient):
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output = self.llm(
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prompt,
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max_tokens=100,
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stop=["<{event.sender}>"],
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stop=[f"<{event.sender}>"],
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echo=True,
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)
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@ -123,17 +125,28 @@ def main(
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username: str,
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password: str,
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room: str,
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preprompt,
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preprompt: str,
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) -> None:
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"""Run the main program.
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Download the model from HuggingFace Hub and start the async loop.
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"""
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# download the model
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ggml_path = hf_hub_download(
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repo_id="TheBloke/stable-vicuna-13B-GGML",
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filename="stable-vicuna-13B.ggmlv3.q5_1.bin",
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)
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asyncio.get_event_loop().run_until_complete(
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_main(
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ggml_path=ggml_path,
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homeserver=homeserver,
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device_id=device_id,
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username=username,
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password=password,
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preprompt=preprompt,
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room=room,
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)
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),
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)
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@ -143,9 +156,13 @@ async def _main(
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username: str,
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password: str,
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room: str,
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preprompt,
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preprompt: str,
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ggml_path: str,
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) -> None:
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"""Run the main program."""
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"""Run the async main program.
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Create the client, login, join the room, and sync forever.
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"""
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# create the client
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client = LLMClient(
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homeserver=homeserver,
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@ -153,6 +170,7 @@ async def _main(
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username=username,
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room=room,
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preprompt=preprompt,
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ggml_path=ggml_path,
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)
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# Login to the homeserver
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@ -166,6 +184,8 @@ async def _main(
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if __name__ == "__main__":
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# set up logging
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logging.basicConfig(level=logging.DEBUG)
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main(auto_envvar_prefix="NIOLLM")
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# run the main program (with environment variables)
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main(auto_envvar_prefix="NIOLLM")
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