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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
|