import pytest @pytest.fixture(scope="module") def flash_mixtral_awq_handle(launcher): with launcher("casperhansen/mixtral-instruct-awq", num_shard=2) as handle: yield handle @pytest.fixture(scope="module") async def flash_mixtral_awq(flash_mixtral_awq_handle): await flash_mixtral_awq_handle.health(300) return flash_mixtral_awq_handle.client @pytest.mark.asyncio async def test_flash_mixtral_awq(flash_mixtral_awq, response_snapshot): response = await flash_mixtral_awq.generate( "What is deep learning?", max_new_tokens=10, decoder_input_details=True ) assert response.details.generated_tokens == 10 assert ( response.generated_text == "\n\nDeep learning is a subset of machine learning" ) assert response == response_snapshot @pytest.mark.asyncio async def test_flash_mixtral_awq_all_params(flash_mixtral_awq, response_snapshot): response = await flash_mixtral_awq.generate( "What is deep learning?", max_new_tokens=10, repetition_penalty=1.2, return_full_text=True, stop_sequences=["test"], temperature=0.5, top_p=0.9, top_k=10, truncate=5, typical_p=0.9, watermark=True, decoder_input_details=True, seed=0, ) assert response.details.generated_tokens == 10 assert ( response.generated_text == "What is deep learning?\nDeep Learning is a subset of Machine Learning," ) assert response == response_snapshot @pytest.mark.asyncio async def test_flash_mixtral_awq_load( flash_mixtral_awq, generate_load, response_snapshot ): responses = await generate_load( flash_mixtral_awq, "What is deep learning?", max_new_tokens=10, n=4 ) assert len(responses) == 4 assert responses[0].details.generated_tokens == 10 assert ( responses[0].generated_text == "\n\nDeep learning is a subset of machine learning" ) assert all( [r.generated_text == responses[0].generated_text for r in responses] ), f"{[r.generated_text for r in responses]}" assert responses == response_snapshot