4-bit Open on Hugging Face
Parameters
16B
Weights (est.)
≈ 9.2 GB
Mac memory (est.)
16 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/Ring-mini-linear-2.0-4bit --prompt "Hello"
Details
- Base model
- inclusionAI/Ring-mini-linear-2.0 (quantized)
- Vendor
- inclusionAI
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- mit
- Downloads
- 71 in the last 30 days · 1.1K all time · 3 likes
- Published
- 2025-10-02 · updated 2025-10-02 (1y ago)
- Languages
- en
- Tags
- bailing_moe_linear, custom_code
Other MLX builds of inclusionAI/Ring-mini-linear-2.0
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| Ring-mini-linear-2.0-4bit (this one) | 4-bit | ≈ 9.2 GB | 16 GB+ | 71 |
| Ring-mini-linear-2.0-6bit | 6-bit | ≈ 13.3 GB | 24 GB+ | 27 |
| Ring-mini-linear-2.0-8bit | 8-bit | ≈ 17.5 GB | 24 GB+ | 27 |