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laion/tt-x4_temperature-t0p7-45-30B
tt-x4_temperature-t0p7-45-30B is a text generation model from laion. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
GRPO checkpoint from the TaskTrove hyperparameter sweep. Base model Qwen/Qwen3-Coder-30B-A3B-Instruct, trained on DCAgent/exprptmultifile with SkyRL + Terminus-2; campaign verifier is passratio shaping.
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From the Hugging Face model README
GRPO checkpoint from the TaskTrove hyperparameter sweep. Base model
Qwen/Qwen3-Coder-30B-A3B-Instruct, trained on DCAgent/exp_rpt_multifile with SkyRL +
Terminus-2; campaign verifier is pass_ratio shaping.
global_step_45 was selected by the trailing-5 reward EMA (alpha = 1/3) over the full
restart chain -- the highest-EMA aligned checkpoint (EMA 0.1962; step reward 0.2656; pass@8 0.4531;
entropy 0.2981) among saved exports (hf_save_interval 5; first save excluded), per
parse_skyrl_metrics.py --run_dir --save_every 5.
The arm was terminated by the owner at step 66/80 (mid-horizon). Policy entropy had climbed to 4.40xx its step-1 value -- elevated and rising (the campaign entropy stop rule fires at 10x), i.e. the policy was degenerating before the kill. Step 45 is the best saved checkpoint before that decline. This is not a horizon result.
See training_logs/ for metrics.csv, report.md, reward_plot.png, the resolved
rl_config.json, and the gzipped .out chain.
Training-time Daytona/Harbor rollouts: open-athena/tt-x4_temperature-t0p7
(the last episode of each trial -- the rollouts the policy trained on after rollback/truncation).