import pytest @pytest.fixture(scope="module") def flash_mixtral_handle(launcher): with launcher("mistralai/Mixtral-8x7B-v0.1", num_shard=8) as handle: yield handle @pytest.fixture(scope="module") async def flash_mixtral(flash_mixtral_handle): await flash_mixtral_handle.health(300) return flash_mixtral_handle.client @pytest.mark.skip(reason="requires > 4 shards") @pytest.mark.asyncio async def test_flash_mixtral(flash_mixtral, response_snapshot): response = await flash_mixtral.generate( "What is gradient descent?\n\n", max_new_tokens=10, decoder_input_details=True ) assert response.details.generated_tokens == 10 assert ( response.generated_text == "Gradient descent is an optimization algorithm used to minimize" ) assert response == response_snapshot @pytest.mark.skip(reason="requires > 4 shards") @pytest.mark.asyncio async def test_flash_mixtral_all_params(flash_mixtral, response_snapshot): response = await flash_mixtral.generate( "What is gradient descent?\n\n", 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 gradient descent?\n\nIt seems to me, that if you're" ) assert response == response_snapshot @pytest.mark.skip(reason="requires > 4 shards") @pytest.mark.asyncio async def test_flash_mixtral_load(flash_mixtral, generate_load, response_snapshot): responses = await generate_load( flash_mixtral, "What is gradient descent?\n\n", max_new_tokens=10, n=4 ) assert len(responses) == 4 assert responses[0].details.generated_tokens == 10 assert ( responses[0].generated_text == "Gradient descent is an optimization algorithm used to minimize" ) 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