c61394923c
Seth asked "was this with think=false?" Yes — and that was the only question that mattered. Everything I concluded in round 1 and round 2 was wrong. Actual cause, isolated in round 3: - At identical message state, gemma4:26b with think=false returns eval=4 (silent stop); with think unset or think=true, returns eval=165 and emits the correct tool call. - Original round-1 write_file harness + think unset: 26B passes in 8 iters, 20s. No mitigations needed. - 31B dense and qwen3-coder:30b tolerate think=false; 26B MoE does not. Red herrings (kept on-record in the bakeoff doc, not silently erased): - Round 1: "write_file tool-call argument size" — wrong - Round 2a: refuted the arg-size theory but for the wrong reason (still failed because think=false was still set) - Round 2b: "cumulative tool-response context size" — truncating did make 26B pass, but by coincidence. Shorter context at the decision turn dodged the think=false side effect. Why the existing "always think:false" guidance was misleading: it was derived from AI_Visualizer (single-turn JSON pipelines) where thinking tokens do eat num_predict invisibly. In multi-turn tool-calling agents the channels are separate and the flag has a different effect — catastrophic on 26B specifically. Doc updates: - GOTCHAS: replaced the 26B entry with the actual cause; scoped the original "Thinking Mode Eats Context" entry to single-turn pipelines - SYNTHESIS: split the "Mandatory Ollama Settings" block into single-turn vs multi-turn variants; updated anti-patterns and quick-start checklist - CORPUS_cli_coding_agent.md: revised pointer and config template - docs/reference/bakeoff-2026-04-18.md: added Round 3 section with the correction notice at the top of the file and full diagnostic methodology New artifacts: harness_no_think_flag.py, harness_write_no_think.py, and 4 new log files demonstrating all three models pass when think is left at default.
150 lines
7.7 KiB
JSON
150 lines
7.7 KiB
JSON
{
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"model": "gemma4:31b-it-q4_K_M",
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"edit_tool": "apply_patch",
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"think_setting": "unset (default)",
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"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-31b-no-think-flag/work",
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"started_at": 1776550017.9478421,
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"turns": [
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{
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"iteration": 1,
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"elapsed_s": 17.62,
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"content": "",
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"tool_calls": [
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{
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"name": "read_file",
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"arguments": {
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"path": "README.md"
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},
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"result": "# Bakeoff Task\n\nA tiny Python package (`calc/`) with a statistics module. Run `pytest` from this\ndirectory \u2014 two tests currently fail because `median` returns the upper-middle\nelement instead of averaging the two middle elements on even-length inputs.\n\nYour job: make all tests pass. Do not disable or modify the tests.\n\nAllowed tools:\n- `read_file(path)` \u2014 read a file (relative to this directory)\n- `write_file(path, content)` \u2014 overwrite a file (relative to this directory)\n- `run_bash(command)` \u2014 run a shell command (cwd is this directory)\n\nWhen all tests pass, reply with a short summary of the fix and stop calling tools.\n"
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}
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],
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"prompt_eval_count": 459,
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"eval_count": 38,
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"thinking_field_len": 67
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},
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{
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"iteration": 2,
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"elapsed_s": 3.6,
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"content": "",
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"tool_calls": [
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{
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"name": "run_bash",
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"arguments": {
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"command": "ls -R"
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},
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"result": "exit=0\n--- stdout ---\n.:\ncalc\nREADME.md\ntests\n\n./calc:\n__init__.py\n__pycache__\nstats.py\n\n./calc/__pycache__:\n__init__.cpython-313.pyc\nstats.cpython-313.pyc\n\n./tests:\n__pycache__\ntest_stats.py\n\n./tests/__pycache__:\ntest_stats.cpython-313-pytest-9.0.2.pyc\n\n--- stderr ---\n"
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}
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],
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"prompt_eval_count": 640,
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"eval_count": 70,
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"thinking_field_len": 211
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},
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{
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"iteration": 3,
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"elapsed_s": 3.6,
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"content": "",
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"tool_calls": [
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{
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"name": "run_bash",
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"arguments": {
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"command": "pytest"
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},
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"result": "exit=2\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-31b-no-think-flag/work\nplugins: asyncio-1.3.0, anyio-4.12.1\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 0 items / 1 error\n\n==================================== ERRORS ====================================\n_____________________ ERROR collecting tests/test_stats.py _____________________\nImportError while importing test module '/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-31b-no-think-flag/work/tests/test_stats.py'.\nHint: make sure your test modules/p"
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}
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],
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"prompt_eval_count": 781,
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"eval_count": 72,
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"thinking_field_len": 224
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},
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{
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"iteration": 4,
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"elapsed_s": 4.01,
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"content": "",
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"tool_calls": [
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{
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"name": "run_bash",
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"arguments": {
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"command": "export PYTHONPATH=$PYTHONPATH:. && pytest"
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},
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"result": "exit=1\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-31b-no-think-flag/work\nplugins: asyncio-1.3.0, anyio-4.12.1\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 7 items\n\ntests/test_stats.py ..FFF.. [100%]\n\n=================================== FAILURES ===================================\n_______________________________ test_median_even _______________________________\n\n def test_median_even():\n> assert median([1, 2, 3, 4]) == 2.5\nE assert 3 == 2.5\nE + where 3 ="
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}
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],
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"prompt_eval_count": 1223,
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"eval_count": 57,
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"thinking_field_len": 127
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},
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{
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"iteration": 5,
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"elapsed_s": 5.47,
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"content": "",
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"tool_calls": [
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{
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"name": "read_file",
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"arguments": {
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"path": "calc/stats.py"
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},
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"result": "\"\"\"Basic statistics helpers.\"\"\"\n\n\ndef mean(numbers):\n \"\"\"Arithmetic mean of a non-empty list.\"\"\"\n return sum(numbers) / len(numbers)\n\n\ndef median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n return s[n // 2]\n\n\ndef mode(numbers):\n \"\"\"Return the most common value. Ties broken by first occurrence.\"\"\"\n counts = {}\n for x in numbers:\n counts[x] = counts.get(x, 0) + 1\n best = None\n best_count = -1\n for x in numbers:\n if counts[x] > best_count:\n best = x\n best_count = counts[x]\n return best\n\n\ndef variance(numbers):\n \"\"\"Sample variance (divides by n-1).\"\"\"\n if len(numbers) < 2:\n raise ValueError(\"variance requires at least 2 values\")\n m = mean(numbers)\n return"
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}
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],
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"prompt_eval_count": 1868,
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"eval_count": 71,
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"thinking_field_len": 196
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},
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{
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"iteration": 6,
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"elapsed_s": 26.35,
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"content": "",
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"tool_calls": [
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{
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"name": "apply_patch",
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"arguments": {
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"new_text": "def median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n if n % 2 == 1:\n return s[n // 2]\n else:\n return (s[n // 2 - 1] + s[n // 2]) / 2\n",
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"old_text": "def median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n return s[n // 2]\n",
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"path": "calc/stats.py"
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},
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"result": "patched calc/stats.py (replaced 131 chars with 211 chars)"
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}
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],
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"prompt_eval_count": 2157,
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"eval_count": 630,
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"thinking_field_len": 1025
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},
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{
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"iteration": 7,
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"elapsed_s": 1.82,
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"content": "",
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"tool_calls": [
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{
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"name": "run_bash",
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"arguments": {
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"command": "export PYTHONPATH=$PYTHONPATH:. && pytest"
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},
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"result": "exit=0\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-31b-no-think-flag/work\nplugins: asyncio-1.3.0, anyio-4.12.1\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 7 items\n\ntests/test_stats.py ....... [100%]\n\n============================== 7 passed in 0.01s ===============================\n\n--- stderr ---\n"
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}
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],
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"prompt_eval_count": 2347,
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"eval_count": 22,
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"thinking_field_len": 0
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},
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{
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"iteration": 8,
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"elapsed_s": 2.84,
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"content": "The `median` function in `calc/stats.py` was incorrectly returning the upper-middle element for even-length lists; I updated it to return the average of the two middle elements.",
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"tool_calls": [],
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"prompt_eval_count": 2565,
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"eval_count": 45,
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"thinking_field_len": 0
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}
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],
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"final": {
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"halt_reason": "no_tool_calls",
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"tests_pass": true,
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"iterations_used": 8,
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"tool_call_counts": {
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"read_file": 2,
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"apply_patch": 1,
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"run_bash": 4
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},
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"wall_clock_s": 66.41
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}
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} |