Architecture
data/models.yaml. Every label is auditable
against the model's sources.
Specs
- Architecture
- dense
- Total params
- 3B
- Active params
- 3B
- Context window
- not verified
- Attention
- unknown
- Position encoding
- unknown
- Post-training
- sft, rlhf
- OSI-approved
- no
- Data released
- no
- Training code
- not released
- QAT
- 2-bit (official)
Available quantizations
QAT 2-bit
Trained to be quantized: quantization-aware training, with official checkpoints (2025-07-17).
Decoder weights compressed to 2 bits per weight via QAT (embedding table 4-bit, KV cache 8-bit); LoRA adapters recover quality.
source ↗None. The weights are not distributed, so there are no public quantizations.
Notable innovations
- · 2-bit quantization-aware training for on-device
- · KV-cache sharing between blocks (37.5 percent reduction)
- · Foundation Models framework for app developers
- · Parallel-Track MoE server companion
Lineage
Apple's first developer-accessible foundation model; ships with iOS 26.