The default shipping tier for 24 GB+ Macs. 27B dense, text-only, MLX 4-bit. Ships with a Holtzman calibration bias applied at inference time (pure post-processing, no weight modification).

Try it in Outlier

The simplest way to use this model is through the Outlier app — open the tier picker, select Outlier Core, click download, and chat. No setup, no Python, no MLX install, no token quotas.

➡ Download Outlier — outlier.host

A screenshot of the tier picker is at outlier.host/screenshots/tier-picker.png.

Load this directly (power users)

If you want the raw MLX-4bit weights without the app:

bash

pip install mlx-lm
python -m mlx_lm.generate \
  --model Outlier-Ai/Outlier-Core-27B-MLX-4bit \
  --prompt "Write a quicksort in Python." \
  --max-tokens 512

python

from mlx_lm import load, generate
model, tokenizer = load("Outlier-Ai/Outlier-Core-27B-MLX-4bit")
print(generate(model, tokenizer, prompt="Hello", max_tokens=256))

Verified benchmarks

For σ-qualified MMLU, HumanEval, and Mac inference-speed numbers — with full provenance (source file, command, n, stderr, date) — see outlier.host/benchmarks.

Other Outlier shipping tiers

License

Apache 2.0 (inherits from upstream base model). Conversion artifact only — the underlying weights are governed by the base model's license.