Fixed JANG 6-bit affine quant — coherent tool-calling, verified in Osaurus runtime (replaces broken 4-bit)
Browse files- README.md +19 -18
- config.json +3 -1609
- jang_config.json +3 -4
- model-00001-of-00006.safetensors → model-00001-of-00008.safetensors +2 -2
- model-00002-of-00006.safetensors → model-00002-of-00008.safetensors +2 -2
- model-00003-of-00006.safetensors → model-00003-of-00008.safetensors +2 -2
- model-00004-of-00006.safetensors → model-00004-of-00008.safetensors +2 -2
- model-00005-of-00006.safetensors +0 -3
- model-00005-of-00008.safetensors +3 -0
- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00006-of-00006.safetensors → model-00008-of-00008.safetensors +2 -2
- model.safetensors.index.json +0 -0
README.md
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@@ -20,45 +20,46 @@ pipeline_tag: text-generation
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# AppleScript-8B-
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**A fast, small tool-calling model for macOS AppleScript & agentic computer-use.** Given a `run_applescript`
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tool, it emits a structured **tool call** with
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(Safari, Finder, Mail, Notes, Calendar, System Events), system control, clipboard, screenshots, and
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`do shell script` — ready to execute in an agent loop. Without a tools spec, it writes AppleScript
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directly (hybrid).
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Built by **[Osaurus](https://osaurus.ai)**. Base: **Zyphra/ZAYA1-8B** (MoE). Quantized
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(
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[MLX](https://github.com/ml-explore/mlx).
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|---|---|
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| Parameters | 8.84 B (MoE) |
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| Quant |
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| Size | ~
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| Tool-calling | native (`<zyphra_tool_call>`), `run_applescript` |
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| Runtime | MLX (Apple Silicon) / Osaurus |
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## Benchmark — base vs final (held-out executable AppleScript bench, 87 tasks)
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*Tool-call emission* = emits a
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AppleScript. *Exec* = it runs and returns the correct result (
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| | Tool-call emission | Compile | Exec |
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|---|---|---|---|
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| Base (Zyphra/ZAYA1-8B) | ✗ (writes raw, no tool calls) | 28.9% | 30.0% |
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| **AppleScript-8B-
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The fine-tune teaches
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-
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## Usage (MLX, tool-calling)
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```python
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from mlx_lm import load, generate
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model, tok = load("
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tools = [{"type":"function","function":{"name":"run_applescript",
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"description":"Execute AppleScript on macOS and return its output.",
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"parameters":{"type":"object","properties":{"script":{"type":"string"}},"required":["script"]}}}]
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## Tiers
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For higher accuracy use **`
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## License
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# Osaurus-AppleScript-8B-JANG_6M
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**A fast, small tool-calling model for macOS AppleScript & agentic computer-use.** Given a `run_applescript`
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+
tool, it emits a structured **tool call** with valid AppleScript to drive macOS — app automation
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(Safari, Finder, Mail, Notes, Calendar, System Events), system control, clipboard, screenshots, and
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`do shell script` — ready to execute in an agent loop. Without a tools spec, it writes AppleScript
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directly (hybrid).
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+
Built by **[Osaurus](https://osaurus.ai)**. Base: **Zyphra/ZAYA1-8B** (MoE). Quantized with **JANG**
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(6-bit affine, MLX-native) for fast on-device inference via
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[MLX](https://github.com/ml-explore/mlx). Verified in the Osaurus runtime.
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|---|---|
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| Parameters | 8.84 B (MoE, 16 experts) |
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| Quant | **JANG 6-bit** — 6-bit affine weights + 8-bit embeddings (MLX `mx.quantize`, group 32) |
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| Size | ~7.4 GB |
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| Tool-calling | native (`<zyphra_tool_call>`), `run_applescript` |
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| Runtime | MLX (Apple Silicon) / Osaurus |
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## Benchmark — base vs final (held-out executable AppleScript bench, 87 tasks)
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*Tool-call emission* = emits a `run_applescript` call. *Compile* = the emitted script is valid
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AppleScript. *Exec* = it runs and returns the correct result (scored on the pure-computational subset
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with a deterministic answer).
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| | Tool-call emission | Compile | Exec |
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|---|---|---|---|
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| Base (Zyphra/ZAYA1-8B) | ✗ (writes raw text, no tool calls) | 28.9% | 30.0% |
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| **Osaurus-AppleScript-8B-JANG_6M** | **100%** ⭐ | **80%** ⭐ | **75%** ⭐ |
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The fine-tune teaches structured tool-calling **and** valid AppleScript (base does neither). Typical
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app-automation tool-calls sit at the compile tier; the exec column is the hardest computational subset
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(string/number algorithms, shell, coercions).
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## Usage (MLX, tool-calling)
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```python
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from mlx_lm import load, generate
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model, tok = load("OsaurusAI/Osaurus-AppleScript-8B-JANG_6M")
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tools = [{"type":"function","function":{"name":"run_applescript",
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"description":"Execute AppleScript on macOS and return its output.",
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"parameters":{"type":"object","properties":{"script":{"type":"string"}},"required":["script"]}}}]
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## Tiers
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For higher accuracy use **`OsaurusAI/Osaurus-AppleScript-16B-A4B-JANG_4M`**. This 8B is the fast/small
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tier for low-latency on-device automation.
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## License
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config.json
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"zaya_mlp_expansion": 256,
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"zaya_use_eda": true,
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"zaya_use_mod": true,
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"weight_format": "
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"zaya_expert_layout": "split_switch_mlp",
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"tie_word_embeddings": true,
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"quantization": {
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"bits":
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"group_size": 32,
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"mode": "affine",
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"embed_bits": 8,
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"expert_bits": 4,
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"router_bits": 16,
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"expert_layout": "split_switch_mlp"
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"model.embed_tokens": {
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"bits": 8,
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"group_size": 32,
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"mode": "affine"
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},
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"mode": "affine"
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},
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|
| 55 |
},
|
| 56 |
"capabilities": {
|
| 57 |
"reasoning_parser": "qwen3",
|
jang_config.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"version": 2,
|
| 3 |
-
"weight_format": "
|
| 4 |
-
"profile": "
|
| 5 |
"cache_subtype": "zaya_cca",
|
| 6 |
"source_model": {
|
| 7 |
"name": "ZAYA1-8B",
|
|
@@ -12,8 +12,7 @@
|
|
| 12 |
"quantization": {
|
| 13 |
"method": "affine",
|
| 14 |
"group_size": 32,
|
| 15 |
-
"
|
| 16 |
-
"expert_bits": 4,
|
| 17 |
"embed_bits": 8
|
| 18 |
},
|
| 19 |
"capabilities": {
|
|
|
|
| 1 |
{
|
| 2 |
"version": 2,
|
| 3 |
+
"weight_format": "mxfp4",
|
| 4 |
+
"profile": "JANG_6M",
|
| 5 |
"cache_subtype": "zaya_cca",
|
| 6 |
"source_model": {
|
| 7 |
"name": "ZAYA1-8B",
|
|
|
|
| 12 |
"quantization": {
|
| 13 |
"method": "affine",
|
| 14 |
"group_size": 32,
|
| 15 |
+
"bits": 6,
|
|
|
|
| 16 |
"embed_bits": 8
|
| 17 |
},
|
| 18 |
"capabilities": {
|
model-00001-of-00006.safetensors → model-00001-of-00008.safetensors
RENAMED
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@@ -1,3 +1,3 @@
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|
| 1 |
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model-00002-of-00006.safetensors → model-00002-of-00008.safetensors
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model-00004-of-00006.safetensors → model-00004-of-00008.safetensors
RENAMED
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model.safetensors.index.json
CHANGED
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