50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
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# Copyright 2024 the LlamaFactory team.
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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 llamafactory.chat import ChatModel
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TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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INFER_ARGS = {
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"model_name_or_path": TINY_LLAMA,
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"finetuning_type": "lora",
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"template": "llama3",
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"infer_dtype": "float16",
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"do_sample": False,
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"max_new_tokens": 1,
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}
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MESSAGES = [
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{"role": "user", "content": "Hi"},
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]
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EXPECTED_RESPONSE = "_rho"
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def test_chat():
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chat_model = ChatModel(INFER_ARGS)
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assert chat_model.chat(MESSAGES)[0].response_text == EXPECTED_RESPONSE
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def test_stream_chat():
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chat_model = ChatModel(INFER_ARGS)
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response = ""
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for token in chat_model.stream_chat(MESSAGES):
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response += token
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assert response == EXPECTED_RESPONSE
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