Training
- Trainer: Tinker managed GRPO,
platform_tinker/tinkerrl/grpo_cli.py (commit 81ffbccda); config autoresearch/orchestrator-260809-0922/rejected_untracked_smoke.json.
- Base
Qwen/Qwen3.6-35B-A3B @ 995ad96eacd98c81ed38be0c5b274b04031597b0; LoRA rank 32, all linear layers.
- Data: tool-calling suites built from
Salesforce/xlam-function-calling-60k
@ 26d14ebfe18b1f7b524bd39b404b50af5dc97866 (CC-BY-4.0) for the xLAM runs, and from API-Bank and
SWE-Gym for the portfolio run. Check each source dataset's licence before reuse.
- Reward: strict structured-call match (xLAM) or task verifiers (portfolio).
Results
Untrained base model on 100 frozen xLAM held-out examples: mean strict reward 0.07.
No held-out result exists for this checkpoint. Do not cite it as evidence of improvement.
Limitations
This is a smoke or pilot artefact from one seed with a few steps. It is not a model for deployment.
Licence
Apache-2.0 for the adapter, matching the base model. The training data keeps its own licences.