OCPP-PulseEnergy

pulseenergy-ocpp-llm

Deploy Dedicated

Dedicated Endpoints

Run this model inference on single tenant GPU with unmatched speed and reliability at scale.

Learn more

Container

Run this model inference with full control and performance in your environment.

Learn more

Get help setting up a custom Dedicated Endpoints.

Talk with our engineer to get a quote for reserved GPU instances with discounts.

README

License: mit

Model details

Developed by: Pulse Energy Technologies Pvt. Ltd.
Base model: Qwen2.5-7B
Language: English
License: MIT

Intended use

Designed for charge point operators (CPOs) and support teams to:

Diagnose charger faults from OCPP message traces (BootNotification, StatusNotification, MeterValues, StartTransaction/StopTransaction, etc.)
Map OCPP error codes and status transitions to probable causes
Explain OCPP 1.6 / 2.0.1 protocol behaviour and message semantics
Assist first-line support triage before escalation

Limitations and recommendations

Coverage is strongest for common OCPP 1.6 fault patterns; rarer or vendor-specific extensions may be less reliable.
The model can produce plausible but incorrect root-cause attributions; keep a human in the loop for any operational action.
Recommended decoding: low temperature (≈0.2–0.4) for deterministic diagnostics.

Citation

bibtex
@misc{pulseenergy_ocpp_llm,
  title  = {pulseenergy-ocpp-llm: An OCPP Diagnostics LLM},
  author = {Pulse Energy Technologies},
  year   = {2026},
  howpublished = {\url{https://huggingface.co/OCPP-PulseEnergy/pulseenergy-ocpp-llm}}
}