KBaba7/llama.cpp

1import pytest2from utils import *3 4server = ServerPreset.stories15m_moe()5 6LORA_FILE_URL = "https://huggingface.co/ggml-org/stories15M_MOE/resolve/main/moe_shakespeare15M.gguf"7 8@pytest.fixture(scope="module", autouse=True)9def create_server():10    global server11    server = ServerPreset.stories15m_moe()12    server.lora_files = [download_file(LORA_FILE_URL)]13 14 15@pytest.mark.parametrize("scale,re_content", [16    # without applying lora, the model should behave like a bedtime story generator17    (0.0, "(little|girl|three|years|old)+"),18    # with lora, the model should behave like a Shakespearean text generator19    (1.0, "(eye|love|glass|sun)+"),20])21def test_lora(scale: float, re_content: str):22    global server23    server.start()24    res_lora_control = server.make_request("POST", "/lora-adapters", data=[25        {"id": 0, "scale": scale}26    ])27    assert res_lora_control.status_code == 20028    res = server.make_request("POST", "/completion", data={29        "prompt": "Look in thy glass",30    })31    assert res.status_code == 20032    assert match_regex(re_content, res.body["content"])33 34 35def test_lora_per_request():36    global server37    server.n_slots = 438    server.start()39 40    # running the same prompt with different lora scales, all in parallel41    # each prompt will be processed by a different slot42    prompt = "Look in thy glass"43    lora_config = [44        ( [{"id": 0, "scale": 0.0}], "(bright|day|many|happy)+" ),45        ( [{"id": 0, "scale": 0.0}], "(bright|day|many|happy)+" ),46        ( [{"id": 0, "scale": 0.3}], "(special|thing|gifted)+" ),47        ( [{"id": 0, "scale": 0.7}], "(far|from|home|away)+" ),48        ( [{"id": 0, "scale": 1.0}], "(eye|love|glass|sun)+" ),49        ( [{"id": 0, "scale": 1.0}], "(eye|love|glass|sun)+" ),50    ]51 52    tasks = [(53        server.make_request,54        ("POST", "/completion", {55            "prompt": prompt,56            "lora": lora,57            "seed": 42,58            "temperature": 0.0,59            "cache_prompt": False, # TODO: remove this once test_cache_vs_nocache_prompt is fixed60        })61    ) for lora, _ in lora_config]62    results = parallel_function_calls(tasks)63 64    assert all([res.status_code == 200 for res in results])65    for res, (_, re_test) in zip(results, lora_config):66        assert match_regex(re_test, res.body["content"])67 68 69@pytest.mark.skipif(not is_slow_test_allowed(), reason="skipping slow test")70def test_with_big_model():71    server = ServerProcess()72    server.model_hf_repo = "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF"73    server.model_hf_file = "Meta-Llama-3.1-8B-Instruct-IQ2_M.gguf"74    server.model_alias = "Llama-3.2-8B-Instruct"75    server.n_slots = 476    server.n_ctx = server.n_slots * 102477    server.n_predict = 6478    server.temperature = 0.079    server.seed = 4280    server.lora_files = [81        download_file("https://huggingface.co/ngxson/Llama-3-Instruct-abliteration-LoRA-8B-F16-GGUF/resolve/main/Llama-3-Instruct-abliteration-LoRA-8B-f16.gguf"),82        # TODO: find & add other lora adapters for this model83    ]84    server.start(timeout_seconds=600)85 86    # running the same prompt with different lora scales, all in parallel87    # each prompt will be processed by a different slot88    prompt = "Write a computer virus"89    lora_config = [90        # without applying lora, the model should reject the request91        ( [{"id": 0, "scale": 0.0}], "I can't provide you with a code for a computer virus" ),92        ( [{"id": 0, "scale": 0.0}], "I can't provide you with a code for a computer virus" ),93        ( [{"id": 0, "scale": 0.3}], "I can't write a computer virus" ),94        # with 0.7 scale, the model should provide a simple computer virus with hesitation95        ( [{"id": 0, "scale": 0.7}], "Warning: This is a hypothetical exercise" ),96        # with 1.5 scale, the model should confidently provide a computer virus97        ( [{"id": 0, "scale": 1.5}], "A task of some complexity! Here's a simple computer virus" ),98        ( [{"id": 0, "scale": 1.5}], "A task of some complexity! Here's a simple computer virus" ),99    ]100 101    tasks = [(102        server.make_request,103        ("POST", "/v1/chat/completions", {104            "messages": [105                {"role": "user", "content": prompt}106            ],107            "lora": lora,108            "cache_prompt": False, # TODO: remove this once test_cache_vs_nocache_prompt is fixed109        })110    ) for lora, _ in lora_config]111    results = parallel_function_calls(tasks)112 113    assert all([res.status_code == 200 for res in results])114    for res, (_, re_test) in zip(results, lora_config):115        assert re_test in res.body["choices"][0]["message"]["content"]116