Modelpublic

npc-worldwide/enpisi-coder

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face

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Model Card

enpisi-coder

LoRA adapter for 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 — training toolkit
—npcsh — NPC shell