96 for Qwen and 128 for Llama, compared with 32 for both in v4. Full runs retain 64 prompts, 16 responses per prompt, and 300 total steps. The 24 GB offload profile retains concurrency 8. See the v5 release notes. Higher concurrency has CPU configuration validation only; GPU capacity and throughput have not been measured, and sampled training trajectories may differ. The guided launcher uses majority voting; wrong-label and inverted reward selection are not exposed by this launcher. V5 includes the v4 fix for caches creating a run directory before the launcher. For the standalone v3 cache fix, see the patch notes. Use a separate extraction folder when upgrading. Existing model, checkpoint…
Independent publisher
Jae Woo Shin
JaeWooShin
Models in Library1
Datasets in Library1
Models on Hugging Face125
Followers1
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Published tasks: Reinforcement learning.
Reported licenses: llama3.2. Open a record to review its specific license and conditions.
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