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88 lines
3.2 KiB
88 lines
3.2 KiB
# Copyright 2021 Zilliz. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from typing import List
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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 towhee.operator.base import PyOperator, SharedType
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class LlamaCpp(PyOperator):
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'''Wrapper of Dolly inference'''
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def __init__(self,
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model_name_or_file: str = 'llama-2-7b-chat',
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**kwargs
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):
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self.kwargs = kwargs
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supported_model_names = self.supported_model_names()
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if model_name_or_file in supported_model_names:
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model_info = supported_model_names[model_name_or_file]
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hf_id = model_info['hf_id']
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model_filename = model_info['filename']
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self.model_path = hf_hub_download(repo_id=hf_id, filename=model_filename)
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else:
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self.model_path = model_name_or_file
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assert os.path.isfile(self.model_path), f'Invalid model path: {self.model_path}'
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init_kwargs = {}
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for k in vars(Llama).keys() & self.kwargs.keys():
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init_kwargs[k] = self.kwargs.pop(k)
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self.model = Llama(model_path=self.model_path, **init_kwargs)
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def __call__(self, messages: List[dict]):
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messages = self.parse_inputs(messages)
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resp = self.model.create_chat_completion(messages, **self.kwargs)
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answer = self.parse_outputs(resp)
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return answer
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def parse_inputs(self, messages: List[dict]):
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assert isinstance(messages, list), \
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'Inputs must be a list of dictionaries with keys from ["system", "question", "answer"].'
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new_messages = []
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for m in messages:
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for k, v in m.items():
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if k == 'system':
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new_messages.append({'role': 'system', 'content': v})
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elif k == 'question':
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new_messages.append({'role': 'user', 'content': v})
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elif k == 'answer':
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new_messages.append({'role': 'assistant', 'content': v})
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else:
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raise KeyError(f'Invalid key of message: {k}')
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return new_messages
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def parse_outputs(self, response):
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return response['choices'][0]['message']['content']
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@staticmethod
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def supported_model_names():
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models = {
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'llama-2-7b-chat': {
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'hf_id': 'TheBloke/Llama-2-7B-Chat-GGML',
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'filename': 'llama-2-7b-chat.ggmlv3.q4_0.bin'
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},
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'llama-2-13b-chat': {
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'hf_id': 'TheBloke/Llama-2-13B-chat-GGML',
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'filename': 'llama-2-13b-chat.ggmlv3.q4_0.bin'
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}
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}
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return models
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@property
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def shared_type(self):
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return SharedType.Shareable
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