| | |
| | 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}') |
| |
|
