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lewm-pilot-flight
Sph3inxz/lewm-pilot-flight
lewm-pilot-flight is a reinforcement learning model from Sph3inxz. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
State-vector Learned World Model (LeWM) fine-tuned on SkyMind Phase 1 flight telemetry (C172 + T-6 autopilot sessions). Used by the LeWM-Pilot demo planner.
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.pt6.1 MB · 100%
At a glance
- Task
- Reinforcement Learning
- Library
- pytorch
- License
- mit
- Model type
- skymind-lewm
- Access
- Public
- Created
- Jun 4, 2026
- Updated
- Jun 4, 2026
- SHA
- aedf97c6
Model card
From the Hugging Face model README
LeWM Pilot — flight fine-tuned world model
State-vector Learned World Model (LeWM) fine-tuned on SkyMind Phase 1 flight telemetry (C172 + T-6 autopilot sessions). Used by the LeWM-Pilot demo planner.
Model summary
| Input | 52-d normalized flight state |
| Action | 8-d control vector |
| Environment | 5-d weather/context vector |
| Latent | 192-d |
| Architecture | MLP encoder + 4-layer Transformer predictor |
| Validation MSE | 0.0046 (latent space, holdout) |
Files
lewm_flight_v1.pt— PyTorch checkpoint (model_state_dict,latent_dim,metadata)config.json— dimensions and training metadata
Load in SkyMind / LeWM-Pilot
from pathlib import Path
from skymind_core.lewm.engine import LeWMEngine
engine = LeWMEngine(device="cpu")
engine.load_checkpoint("checkpoints/lewm_flight_v1.pt")
latent = engine.encode(obs_vector) # obs: (52,)
next_latent = engine.predict(latent, action, env) # action: (8,), env: (5,)
Download from Hub:
hf download Sph3inz/lewm-pilot-flight lewm_flight_v1.pt --local-dir checkpoints
Training
Fine-tuned from a randomly initialized state encoder + predictor on Parquet/Lance flight sessions collected via JSBSim (jsbgym). Config: configs/lewm_finetune.yaml in the GitHub repo.
Demo
Pair with the LeWM-Pilot AI server:
python scripts/run_demo.py
Use --mock-planner if you only want to test the stack without this checkpoint.
Citation / links
- Code: https://github.com/Sph3inz/LeWM-Pilot
- Base LeWM concept: stable-worldmodel / invert-bench lineage
- Task
- Reinforcement Learning
- Library
- pytorch
- Type
- skymind-lewm
- License
- mit
- Created
- Jun 4, 2026
- Updated
- Jun 4, 2026