Skip to content

add ogbench submodule#11

Merged
helenlu66 merged 1 commit into
mainfrom
codex/add-ogbench-submodule
Jun 5, 2026
Merged

add ogbench submodule#11
helenlu66 merged 1 commit into
mainfrom
codex/add-ogbench-submodule

Conversation

@helenlu66

Copy link
Copy Markdown
Member

This is simply adding the ogbench forked repo as a git submodule. There are no commits inside the ogbench repo yet.

Copilot AI left a comment

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Pull request overview

Adds the forked ogbench repository as a Git submodule so the main repo can reference it as an external dependency without vendoring its contents.

Changes:

  • Introduces a new .gitmodules entry for the ogbench submodule.
  • Configures the submodule path (ogbench), remote URL, and tracking branch (master).

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

@seanrivera seanrivera left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Just land this please

@helenlu66
helenlu66 merged commit 3a5e4f7 into main Jun 5, 2026
1 check passed
@helenlu66
helenlu66 deleted the codex/add-ogbench-submodule branch June 5, 2026 19:09
seanrivera added a commit that referenced this pull request Jul 2, 2026
…conditional (exp-3) sweep

Preflight-harden the 10-config conditional sweep + config #11 for a paid launch.
Fixes three launch-fatal blockers found in preflight and two more caught live by
the M6 API smoke.

- Opus 4.8 as the Claude model: interface/agents/claude.py omits temperature for
  the Opus-4.7+/Fable/Mythos family (they 400 on sampling params) and gains
  opt-in adaptive thinking + output_config.effort. The 6 configs rename the model
  key claude_sonnet -> claude_opus, use claude-opus-4-8 at effort:low.
- Launcher conditions plumbing: CONDITIONS/PROMPT_VARIANT env thread through
  lib/distributed_start.sh:start_coordinator into coordinator-prepare (guarded
  appends), so run_pipeline's H1/H2 guard no longer rejects a conditional prepare.
- Kimi: the agent pins temperature by thinking mode (1.0 on / 0.6 off) — Moonshot
  400s on any other value. The 10 configs run Kimi thinking-OFF (thinking-on
  spends the whole budget on reasoning and truncates before FINAL_OUTPUT at 4096,
  found via the M6 smoke); config #11 keeps Kimi thinking-on at 16384.
- Qwen -> Qwen3.6-27B FP16 via vLLM on the qwen-fp16-80 image; FP8/3.5-HF retired
  from the conditional configs, the smoke_qwen36 config, and the deploy default.
- Add config #11 (baseline re-run with full thinking: Opus xhigh, paid 8192/16384)
  to isolate reasoning-depth value vs the effort:low sweep. Pin DIFFICULTY_MAX=1000.

M6 API smoke (V01 empty_room, live) validated: Opus 4.8 solves near-optimally with
no 400s; Kimi thinking-off parses 33/33 turns clean. Full suite green (697).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MskZpoBtRRi93NFQBJ3xBN
seanrivera added a commit that referenced this pull request Jul 2, 2026
The 11 unique configs were spread across the 16-slot variant inventory and the
9-batch dedup table (batch 1 alone yields 3 configs), so no single place listed
them. Add a numbered 1-11 table with the per-model thinking profile, making the
10 effort:low configs vs config #11 (the thinking probe) obvious at a glance.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MskZpoBtRRi93NFQBJ3xBN
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants