shashankN777/evacos2-7b-orchestrator-artifacts

EvacOS2 Public Training Artifacts

This repository hosts the public LoRA adapter artifacts, metrics, logs, and generated configs selected for the EvacOS2 OpenEnv India Hackathon 2026 submission.

Canonical environment Space: https://huggingface.co/spaces/shashankN777/evacos2-openenv

Canonical code repo: https://github.com/sai-shashankN/EvacOS2

Evidence Status

The visible submitted checkpoints in this repo are 3B floor-specialist H200 canaries for fire, flood, and gas response lanes. They are not claimed as final 7B orchestrator quality checkpoints. The tracked fixed-suite scorecard in the code repo is baseline-only; the tracked learning evidence is the fire/flood/gas specialist canary and training-signal artifact trail.

Public Checkpoint Paths

Specialist	Public checkpoint path	Run type
Fire floor specialist	floor-specialists/fire/h200-canary3-10/checkpoints/latest	10-step H200 canary
Flood floor specialist	floor-specialists/flood/h200-canary3-10/checkpoints/latest	10-step H200 canary
Gas floor specialist	floor-specialists/gas/h200-canary-10/checkpoints/latest	10-step H200 canary

Each run folder includes:

• checkpoints/latest/lora_adapter/floor_agent/adapter_model.safetensors
• checkpoints/latest/lora_adapter/floor_agent/adapter_config.json
• generated training config YAML
• training metrics CSV
• JSONL traces and summaries
• train/contrast exit-code markers

Download

hf download shashankN777/evacos2-7b-orchestrator-artifacts \
  --include "floor-specialists/fire/h200-canary3-10/**" \
  --include "floor-specialists/flood/h200-canary3-10/**" \
  --include "floor-specialists/gas/h200-canary-10/**" \
  --local-dir outputs/hf_public_artifacts

Evaluate A Restored Canary Checkpoint

Run this from the EvacOS2 code repo after downloading the artifacts:

CHECKPOINT_DIR=outputs/hf_public_artifacts/floor-specialists/fire/h200-canary3-10/checkpoints/latest
CONFIG_PATH=outputs/hf_public_artifacts/floor-specialists/fire/h200-canary3-10/generated.remote-unsloth-3b-fire-floor-specialist-h200-canary3-10.yaml
METRICS_PATH=outputs/hf_public_artifacts/floor-specialists/fire/h200-canary3-10/remote-unsloth-3b-fire-floor-specialist-h200-canary3-10-metrics.csv

python -m evaluation.demo_bundle \
  --trained-checkpoint "$CHECKPOINT_DIR" \
  --config "$CONFIG_PATH" \
  --training-metrics-path "$METRICS_PATH" \
  --output-dir outputs/demo_bundle_fire_h200_canary

For the checked-in baseline-only fixed suite, see demo/results/submission_scorecard_baseline.md in the code repo. For the tracked learning-signal summary, see demo/results/specialist_canary50_report.md and demo/results/3b_specialist_canary50_scores.csv.