nri-ai · First MLX build 27 Mar 2026
Qwen3-14B-Ja-Fin-Thinking
MLX
Text apache-2.0
A 15B parameter text generation model from nri-ai, with 2 MLX builds, from 4-bit to 8-bit.
- Parameters
- 15B From Hugging Face
- Quantisation
- 8-bit Qwen3-14B-Ja-Fin-Thinking-v0.1-MLX-8bit
- Memory needed
- 20 GB Estimate, unified memory
- Download
- 15.7 GB Weights, estimated
- Downloads
- 89 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 2 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 20 GB at 8-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · mlx-lm$ pip install -U mlx-lm
$ mlx_lm.generate --model mlx-community/Qwen3-14B-Ja-Fin-Thinking-v0.1-MLX-8bit --prompt "Hello"MLX builds
2 on mlx-community| Qwen3-14B-Ja-Fin-Thinking-v0.1-MLX-4bit | 4-bit | 8.3 GB | 12 GB | 84 |
|---|---|---|---|---|
| Qwen3-14B-Ja-Fin-Thinking-v0.1-MLX-8bit | 8-bit | 15.7 GB | 20 GB | 89 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.