---
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B-Instruct
library_name: transformers
pipeline_tag: text-generation
tags:
- geometry-dash
- gguf
- llama-cpp
- ollama
- tool-use
- geode
- qwen2.5
language:
- en
---

# EditorAI v2 — 1.5B GD Level Designer with Tool Use

The first practical EditorAI model. Fine-tune of **Qwen/Qwen2.5-1.5B-Instruct** for the [EditorAI Geode mod](https://github.com/Entity12208/EditorAI).

| | v2 |
|---|---|
| Base model | Qwen2.5-1.5B-Instruct |
| Context | 8 K |
| Q4_K_M size | 941 MB |
| Training | QLoRA 4-bit, 2 epochs, 3,700-row mixed dataset |
| Tool use | works (with mod fallback parser) |
| Format | JSON |

## Files

- `editorai-v2-Q4_K_M.gguf` (941 MB) — primary ship target
- `editorai-v2-fp16.gguf` (2.9 GB) — full-precision
- `Modelfile.v2` — Ollama Modelfile with tool-capable Qwen2.5 template

## Quick start

```bash
# Pull from registry:
ollama pull entity12208/editorai:v2

# Or build locally:
ollama create entity12208/editorai:v2 -f Modelfile.v2
```

## Speed

- GTX 1050 4 GB: ~21 t/s
- RTX 3050 6 GB: ~50 t/s
- RTX 4090: ~150+ t/s

## Note

v2 emits JSON levels. The companion mod (≥v2.2.0) accepts JSON and includes a parser fallback that handles small format quirks. **For new installs prefer [v3](../editorai-7b-v3) or [v4](../editorai-14b-v4)** — they emit the more compact EAS format which is what the mod prefers.

## License

Apache-2.0, inherited from the base model.