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metadata
base_model: arcee-ai/Trinity-Mini
library_name: peft
tags:
  - lora
  - reinforcement-learning
  - prime-rl

Trinity Mini Modern — production step 225

LoRA adapter from optimizer step 225 of the fresh production run started on 2026-09-15. This is an adapter, not a merged standalone model.

Important: optimizer state is unavailable

This repository does not contain the step-225 optimizer/trainer state and is not a fully resumable training checkpoint. The run retains only its last two rolling trainer checkpoints plus every 100th step. By the time this upload was requested, the step-225 trainer checkpoint had been removed. Its separately preserved adapter remains intact. Do not substitute optimizer state from another step and call that an exact step-225 resume.

The adapter can be used for inference or as a warmstart with a new optimizer.

Files and configuration

  • adapter_config.json, adapter_model.safetensors: original step-225 adapter.
  • configs/rl.toml and configs/fresh-20260915.toml: ordered launch config layers.
  • configs/resolved-trainer.toml, configs/resolved-orchestrator.toml: runtime trainer/orchestrator configurations written by PRIME-RL.
  • configs/inference-preflight.toml and configs/start-optimized-inference.sh: inference config plus launch overrides. The script's overrides are necessary to interpret the actual port, LoRA target modules and compilation setting.
  • manifest.json: provenance, file sizes and SHA-256 checksums.

Deployment-specific paths and endpoint addresses are historical references. Credentials are not included. Runtime source patches and the original dependency environment are not bundled, so config files alone are not a complete software reproduction package.

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