---
license: mit
language:
  - en
library_name: transformers
tags:
  - unsloth
  - lora
  - ocpp
  - ev-charging
  - diagnostics
  - qwen2.5
base_model: unsloth/Qwen2.5-7B
pipeline_tag: text-generation
---

# pulseenergy-ocpp-llm

A fine-tuned diagnostics model for OCPP (Open Charge Point Protocol) EV charging
networks, built by [Pulse Energy](https://huggingface.co/OCPP-PulseEnergy). It is
trained to interpret OCPP message logs, surface likely root causes for charger
faults, and explain protocol-level behaviour in plain language.

## 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}}
}
```