---
license: apache-2.0
---

# enpisi-coder

LoRA adapter for [npcsh](https://github.com/NPC-Worldwide/npcsh) agentic command execution.

Trained on npcsh benchmark traces to improve tool calling, shell command generation, and file operation reasoning.

## Supported Families

| Family | Status |
|--------|--------|
| Qwen3.5 | Planned |
| Gemma4 | Planned |

## Structure

```
adapters/
├── qwen3.5/         # Qwen3.5 family
│   ├── mlx/         # Planned
│   ├── hf/          # Planned
│   └── gguf/        # Planned
├── gemma4/          # Gemma4 family
│   ├── mlx/         # Planned
│   ├── hf/          # Planned
│   └── gguf/        # Planned
```

## Usage

```python
from npcpy.ft.sft import load_sft_model, predict_sft

model, tokenizer = load_sft_model("npc-worldwide/enpisi-coder")
response = predict_sft(
    model, tokenizer,
    "Find the largest log file in /var/log and show the last 20 lines",
    max_new_tokens=500,
)
```

## Ecosystem

- [npcpy](https://github.com/NPC-Worldwide/npcpy) — training toolkit
- [npcsh](https://github.com/NPC-Worldwide/npcsh) — NPC shell