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# Copyright 2025 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.getenv("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
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