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43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
from application.llm.base import BaseLLM
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from application.core.settings import settings
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class LlamaCpp(BaseLLM):
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def __init__(self, api_key, llm_name=settings.MODEL_PATH, **kwargs):
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global llama
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try:
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from llama_cpp import Llama
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except ImportError:
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raise ImportError(
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"Please install llama_cpp using pip install llama-cpp-python"
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)
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llama = Llama(model_path=llm_name, n_ctx=2048)
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def _raw_gen(self, model, messages, stream=False, **kwargs):
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context = messages[0]["content"]
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user_question = messages[-1]["content"]
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prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n"
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result = llama(prompt, max_tokens=150, echo=False)
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# import sys
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# print(result['choices'][0]['text'].split('### Answer \n')[-1], file=sys.stderr)
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return result["choices"][0]["text"].split("### Answer \n")[-1]
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def _raw_gen_stream(self, model, messages, stream=True, **kwargs):
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context = messages[0]["content"]
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user_question = messages[-1]["content"]
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prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n"
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result = llama(prompt, max_tokens=150, echo=False, stream=stream)
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# import sys
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# print(list(result), file=sys.stderr)
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for item in result:
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for choice in item["choices"]:
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yield choice["text"]
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