Experiment recovery package. Neutral track names preserve independent training arms; the restore manifest maps them back to exact local identities. Complete states contain adapter, optimizer, reference and random-generator state. The separate reference initializer is inference-only and has no optimizer state. The context archive contains data, code, episode history and recovery instructions. The data/ directory indexes the exact SFT/RL datasets and their original schemas; environment/ documents the pinned environment, model and rebuild commands. Credentials, base-model cache and the Python environment are excluded. Original project contributions, including adapters, experiment code and…
Independent publisher
R0
rlix
Models in Library2
Datasets in Library0
Models on Hugging Face1
Followers—
Compare the published evidence
This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Reinforcement learning.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
Selected adapter, optimizer, reference, RNG and cursor states with source/data receipts. Restore only from a verified pinned commit and check every SHA256. Base weights and private credentials are supplied separately. Project-authored backup artifacts use Apache License 2.0; upstream artifacts retain their applicable licenses. https://www.apache.org/licenses/LICENSE-2.0