OsaurusAI/Osaurus-AppleScript-16B-A4B-JANG_4M

AppleScript-16B-A4B-JANG_4M

The flagship tool-calling model for macOS AppleScript & agentic computer-use. Given a run_applescript tool, it emits a structured tool call with correct AppleScript to drive macOS — app automation (Safari, Finder, Mail, Notes, Calendar, Reminders, System Events), system control, clipboard, screenshots, ASObjC, and do shell script — ready to execute in an agent loop. Without a tools spec, it writes AppleScript directly (hybrid).

Built by Osaurus. Derived from gemma-4-26B-A4B (MoE): expert-pruned to a hyper-focused 16.1 B (~4 B active), fine-tuned for AppleScript + tool-calling, quantized to JANG_4M (8-bit attention, 4-bit routed experts) for fast on-device inference via MLX.

Parameters	16.1 B total · ~4 B active (MoE)
Quant	JANG_4M — 8-bit attention, 4-bit routed experts
Size	~11 GB
Tool-calling	native (gemma tool-call format), run_applescript
Runtime	MLX (Apple Silicon) / Osaurus

Benchmark — base vs final (held-out executable AppleScript bench, 87 tasks)

Tool-call emission = emits a valid run_applescript call. Compile = valid AppleScript. Exec = it runs and returns the correct result.

	Tool-call emission	Compile	Exec
Base gemma-4-26B-A4B	✗ (writes raw, no tool calls)	~88%	unreliable
AppleScript-16B-A4B-JANG_4M	100% ⭐	100% ⭐	84% ⭐

Highest-quality AppleScript model in the Osaurus line: 100% structured tool-call emission, 100% valid AppleScript, 84% executable correctness.

Usage (MLX, tool-calling)

from mlx_lm import load, generate
model, tok = load("OsaurusAI/AppleScript-16B-A4B-JANG_4M")
tools = [{"type":"function","function":{"name":"run_applescript",
  "description":"Execute AppleScript on macOS and return its output.",
  "parameters":{"type":"object","properties":{"script":{"type":"string"}},"required":["script"]}}}]
msgs = [{"role":"user","content":"Create a note titled 'Groceries' in Notes."}]
prompt = tok.apply_chat_template(msgs, tools=tools, add_generation_prompt=True, tokenize=False)
print(generate(model, tok, prompt=prompt, max_tokens=300))

Your agent parses the run_applescript tool call, runs the script (e.g. via osascript), and feeds the result back. (Omit tools= to get raw AppleScript instead.)

Tiers

• AppleScript-16B-A4B-JANG_4M (this) — flagship quality (~11 GB).
• AppleScript-8B-JANG_4M — fast/small tier (~5.6 GB).

License

Inherits the Gemma license — review and comply with the base model's terms.

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Made by Osaurus · contact eric@osaurus.ai