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language:
- en
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B
tags:
- sifta
- alice
- classifier
- intent-detection
- mlx
- apple-silicon
- lora
- fine-tuned
- organism
- stigmergy
library_name: mlx
pipeline_tag: text-classification
---
# Alice Classifier v2 — SIFTA Intent Detection (C1 Layer)
**Alice's fast intent classifier**, the C1 layer in SIFTA's five-layer decision pipeline.
Part of the [SIFTA Predator OS v7.0](https://github.com/antonpictures/ANTON-SIFTA).
## Model Details
| Property | Value |
|---|---|
| **Base Model** | Qwen2.5-1.5B-4bit (via mlx-community) |
| **Fine-tune Method** | LoRA (rank 8) fused into base weights |
| **Format** | MLX SafeTensors (Apple Silicon optimized) |
| **Training Hardware** | Mac Studio M2 Ultra (M5 node) |
| **Author** | Ioan George Anton (Architect) |
| **Purpose** | Fast intent classification before expensive C0 cortex fires |
## Architecture Role
This model is the **C1 Classifier** — the second layer in SIFTA's five-layer decision pipeline:
1. **Reflex Arc** → instant safety responses
2. **C1 Classifier (THIS MODEL)** → fast intent detection (~1.5B, sub-second)
3. **Basal Ganglia** → action selection
4. **Corpus Callosum** → cross-modal integration
5. **C0 Cortex** → full reasoning ([alice-cortex-v1](https://huggingface.co/georgeanton/alice-cortex-v1))
**Why two models?** The C1 classifier handles ~80% of incoming intents at 1/3 the compute cost. The expensive C0 cortex only fires when the classifier can't resolve the intent. This is biological: your brainstem handles reflexes before your prefrontal cortex even wakes up.
## Usage (MLX)
```python
from mlx_lm import load, generate
model, tokenizer = load("georgeanton/alice-classifier-v2")
response = generate(model, tokenizer, prompt="Classify intent: play some music", max_tokens=32)
print(response)
```
## Part of SIFTA
588 system modules | 17 biological organs | 4 provisional patents | 2,532+ commits
**Repository:** [github.com/antonpictures/ANTON-SIFTA](https://github.com/antonpictures/ANTON-SIFTA)
## License
Apache 2.0 — For the Swarm. 🐜⚡
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