feat: add lm_eval extension

.github/workflows/main.yml

@@ -35,7 +35,7 @@ jobs:
     - name: Install dependencies
       run: |
         if [[ $(python -c "import sys; print(sys.version_info[:2] >= (3, 12))") == "True" ]]; then
-          poetry install --no-interaction -E llama-index -E localserver -E langchain
+          poetry install --no-interaction -E llama-index -E localserver -E langchain -E lm-eval
         else
           poetry install --no-interaction --all-extras
         fi

examples/extensions/lm_eval/__init__.py

@@ -0,0 +1,9 @@
+"""
+lm_eval
+
+.. admonition:: Before you start
+    :class: important
+
+    To use the following extension, first install it by running
+    :bash:`pip install 'ibm-generative-ai[lm_eval]'`.
+"""

examples/extensions/lm_eval/lm_eval_cli.py

@@ -0,0 +1,33 @@
+"""
+lm-evaluation-harness CLI usage
+
+The recommended way to run benchmarks is through CLI.
+In your python environment with 'ibm-generative-ai[lm-eval]' installed:
+
+Example::
+
+    python -m genai.extensions.lm_eval \\
+          --model="ibm_genai" \\
+          --model_args="model_id=tiiuae/falcon-40b,temperature=0" \\
+          --task="hellaswag" \\
+          --num_fewshot=10 \\
+          --output_path="falcon-40b_hellaswag.json"
+"""
+
+import subprocess
+
+subprocess.run(
+    [
+        "python",
+        "-m",
+        "genai.extensions.lm_eval",
+        "--model=ibm_genai",
+        "--model_args=model_id=tiiuae/falcon-40b,temperature=0",
+        "--task=hellaswag",
+        "--num_fewshot=10",
+        "--limit=10",  # WARNING: only for debug purposes, remove for full testing dataset
+    ],
+    check=True,
+    text=True,
+    capture_output=False,
+)

examples/extensions/lm_eval/lm_eval_model.py

@@ -0,0 +1,46 @@
+"""
+lm-evaluation-harness advanced usage
+
+Use lm-evaluation extension from code to have additional control over concurrency or execution options
+
+Note:
+    This is for advanced usage only, use CLI in most cases (lm_eval_cli example)
+"""
+
+import logging
+from pprint import pprint
+
+from dotenv import load_dotenv
+from lm_eval import simple_evaluate
+
+from genai import Client, Credentials
+from genai.extensions.lm_eval.model import IBMGenAILMEval
+from genai.schema import TextGenerationParameters
+
+load_dotenv()
+
+logging.getLogger("httpx").setLevel(logging.WARN)
+logging.getLogger("genai").setLevel(logging.WARN)
+
+task_name = "arc_challenge"
+model_id = "tiiuae/falcon-40b"
+num_fewshot = 25
+limit = 10  # WARNING: only for debug purposes, set None for full testing dataset
+
+client = Client(
+    credentials=Credentials.from_env(),
+    config={"api_client_config": {"transport_options": {"retries": 999}}},
+)
+model = IBMGenAILMEval(
+    client=client,
+    model_id=model_id,
+    show_progressbar=True,
+    parameters=TextGenerationParameters(temperature=0),
+)
+results = simple_evaluate(model, tasks=[task_name], num_fewshot=num_fewshot, log_samples=False, limit=limit)
+
+# add info about the model and few shot config
+# "model_kwargs": model_kwargs,
+results["config"] = {"model": model_id, "use_cache": False, "limit": limit, "model_kwargs": model.dump_parameters()}
+
+pprint(results)

pyproject.toml

@@ -43,6 +43,8 @@ llama-index-core = { version = "^0.10.0", optional = true }
 uvicorn = { version = "^0.22.0",  optional = true }
 fastapi = { version = "^0.100.0",  optional = true }
 deprecated = "^1.2.14"
+lm-eval = { version = "^0.4.2",  optional = true }
+tqdm = { version = "^4.66.1", optional = true }
 
 [tool.black] # left for IDE compatibility (pycharm)
 line-length = 120
@@ -114,10 +116,12 @@ pytest-httpx = "^0.30.0"
 langchain = ["langchain-core", "pyyaml"]
 huggingface = ["datasets", "transformers"]
 llama-index = ["llama-index-core"]
+lm-eval = ["lm-eval", "tqdm"]
 localserver = ["uvicorn", "fastapi"]
 
 [tool.pytest.ini_options]
 addopts = "--cov --cov-report term-missing --cov-fail-under 80 -v"
+testpaths = ["tests"]
 markers = [
     "unit",
     "integration",
@@ -151,6 +155,10 @@ warn_required_dynamic_aliases = true
 help = "Install dependencies for the SDK core and it's extensions"
 cmd = "poetry install --all-extras --without dev"
 
+[tool.poe.tasks.lm_eval]
+help = "Run lm_eval with support for genai models"
+cmd = "python -m genai.extensions.lm_eval"
+
 [tool.poe.tasks.install-dev]
 help = "Install dependencies and related tooling for development"
 sequence = [{ cmd = "poetry install --all-extras" }, { cmd = "pre-commit install" }]

src/genai/extensions/lm_eval/__main__.py

@@ -0,0 +1,30 @@
+import logging
+import signal
+
+from genai import handle_shutdown_event
+from genai.extensions.lm_eval.model import initialize_model
+
+try:
+    # load dotenv if installed
+    from dotenv import load_dotenv
+
+    load_dotenv()
+except ImportError:
+    ...
+
+
+try:
+    from lm_eval.__main__ import cli_evaluate
+except ImportError:
+    raise ImportError("Could not import lm_eval: Please install ibm-generative-ai[lm-eval] extension.")  # noqa: B904
+
+
+initialize_model()
+
+signal.signal(signal.SIGINT, handle_shutdown_event)
+signal.signal(signal.SIGTERM, handle_shutdown_event)
+
+logging.getLogger("httpx").setLevel(logging.WARN)
+logging.getLogger("genai").setLevel(logging.WARN)
+
+cli_evaluate()