|
| 1 | +"""Use the eval command for LLM-as-a-judge evaluation, given a (set of) test file(s) consisting of prompts, instructions, and optionally, targets. |
| 2 | +Instantiate a generator model to produce candidate responses, and a judge model to determine whether the instructions have been followed.""" |
| 3 | + |
| 4 | +import typer |
| 5 | + |
| 6 | +eval_app = typer.Typer(name="eval") |
| 7 | + |
| 8 | + |
| 9 | +def eval_run( |
| 10 | + test_files: list[str] = typer.Argument( |
| 11 | + ..., help="List of paths to json/jsonl files containing test cases" |
| 12 | + ), |
| 13 | + backend: str = typer.Option("ollama", "--backend", "-b", help="Generation backend"), |
| 14 | + model: str = typer.Option(None, "--model", help="Generation model name"), |
| 15 | + max_gen_tokens: int = typer.Option( |
| 16 | + 256, "--max-gen-tokens", help="Max tokens to generate for responses" |
| 17 | + ), |
| 18 | + judge_backend: str = typer.Option( |
| 19 | + None, "--judge-backend", "-jb", help="Judge backend" |
| 20 | + ), |
| 21 | + judge_model: str = typer.Option(None, "--judge-model", help="Judge model name"), |
| 22 | + max_judge_tokens: int = typer.Option( |
| 23 | + 256, "--max-judge-tokens", help="Max tokens for the judge model's judgement." |
| 24 | + ), |
| 25 | + output_path: str = typer.Option( |
| 26 | + "eval_results", "--output-path", "-o", help="Output path for results" |
| 27 | + ), |
| 28 | + output_format: str = typer.Option( |
| 29 | + "json", "--output-format", help="Either json or jsonl format for results" |
| 30 | + ), |
| 31 | + continue_on_error: bool = typer.Option(True, "--continue-on-error"), |
| 32 | +): |
| 33 | + from cli.eval.runner import run_evaluations |
| 34 | + |
| 35 | + run_evaluations( |
| 36 | + test_files=test_files, |
| 37 | + backend=backend, |
| 38 | + model=model, |
| 39 | + max_gen_tokens=max_gen_tokens, |
| 40 | + judge_backend=judge_backend, |
| 41 | + judge_model=judge_model, |
| 42 | + max_judge_tokens=max_judge_tokens, |
| 43 | + output_path=output_path, |
| 44 | + output_format=output_format, |
| 45 | + continue_on_error=continue_on_error, |
| 46 | + ) |
| 47 | + |
| 48 | + |
| 49 | +eval_app.command("run")(eval_run) |
0 commit comments