| # Copyright 2024 the LlamaFactory team. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import os | |
| from llamafactory.chat import ChatModel | |
| TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3") | |
| INFER_ARGS = { | |
| "model_name_or_path": TINY_LLAMA, | |
| "finetuning_type": "lora", | |
| "template": "llama3", | |
| "infer_dtype": "float16", | |
| "do_sample": False, | |
| "max_new_tokens": 1, | |
| } | |
| MESSAGES = [ | |
| {"role": "user", "content": "Hi"}, | |
| ] | |
| EXPECTED_RESPONSE = "_rho" | |
| def test_chat(): | |
| chat_model = ChatModel(INFER_ARGS) | |
| assert chat_model.chat(MESSAGES)[0].response_text == EXPECTED_RESPONSE | |
| def test_stream_chat(): | |
| chat_model = ChatModel(INFER_ARGS) | |
| response = "" | |
| for token in chat_model.stream_chat(MESSAGES): | |
| response += token | |
| assert response == EXPECTED_RESPONSE | |