File size: 1,503 Bytes
cb2428f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
# Copyright (c) Alibaba, Inc. and its affiliates.
from swift.llm import (InferRequest, Model, ModelGroup, ModelMeta, PtEngine, RequestConfig, TemplateMeta,
get_model_tokenizer_with_flash_attn, register_model, register_template)
register_template(
TemplateMeta(
template_type='custom',
prefix=['<extra_id_0>System\n{{SYSTEM}}\n'],
prompt=['<extra_id_1>User\n{{QUERY}}\n<extra_id_1>Assistant\n'],
chat_sep=['\n']))
register_model(
ModelMeta(
model_type='custom',
model_groups=[
ModelGroup([Model('AI-ModelScope/Nemotron-Mini-4B-Instruct', 'nvidia/Nemotron-Mini-4B-Instruct')])
],
template='custom',
get_function=get_model_tokenizer_with_flash_attn,
ignore_patterns=['nemo']))
if __name__ == '__main__':
infer_request = InferRequest(messages=[{'role': 'user', 'content': 'who are you?'}])
request_config = RequestConfig(max_tokens=512, temperature=0)
engine = PtEngine('AI-ModelScope/Nemotron-Mini-4B-Instruct')
response = engine.infer([infer_request], request_config)
swift_response = response[0].choices[0].message.content
engine.default_template.template_backend = 'jinja'
response = engine.infer([infer_request], request_config)
jinja_response = response[0].choices[0].message.content
assert swift_response == jinja_response, (f'swift_response: {swift_response}\njinja_response: {jinja_response}')
print(f'response: {swift_response}')
|