mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-08-02 03:32:50 +08:00
30038d9ce7
* Mimic SGLang offline Engine * Add more tests and args * Pass all current tests * Clean Code * fix sample_params * clean code * Fix Stream Chat * change sglang from engine mode to server mode * fix * Fix Review Issues * Use SGLang Built-In Utilities * Fix test SGLang * Some Doc Issue * fix sglang engine * add readme --------- Co-authored-by: Jin Pan <jpan236@wisc.edu> Co-authored-by: hiyouga <hiyouga@buaa.edu.cn>
72 lines
1.9 KiB
Python
72 lines
1.9 KiB
Python
# Copyright 2025 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 sys
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import pytest
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from llamafactory.chat import ChatModel
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from llamafactory.extras.packages import is_sglang_available
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MODEL_NAME = "meta-llama/Llama-3.2-1B-Instruct"
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INFER_ARGS = {
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"model_name_or_path": MODEL_NAME,
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"finetuning_type": "lora",
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"template": "llama3",
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"infer_dtype": "float16",
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"infer_backend": "sglang",
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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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@pytest.mark.skipif(not is_sglang_available(), reason="SGLang is not installed")
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def test_chat():
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r"""Test the SGLang engine's basic chat functionality."""
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chat_model = ChatModel(INFER_ARGS)
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response = chat_model.chat(MESSAGES)[0]
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# TODO: Change to EXPECTED_RESPONSE
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print(response.response_text)
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@pytest.mark.skipif(not is_sglang_available(), reason="SGLang is not installed")
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def test_stream_chat():
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r"""Test the SGLang engine's streaming chat functionality."""
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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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print("Complete response:", response)
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assert response, "Should receive a non-empty response"
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# Run tests if executed directly
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if __name__ == "__main__":
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if not is_sglang_available():
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print("SGLang is not available. Please install it.")
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sys.exit(1)
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test_chat()
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test_stream_chat()
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