Instructions to use elyanlabs/mlx-power8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use elyanlabs/mlx-power8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download elyanlabs/mlx-power8 --local-dir mlx-power8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Source snapshot of github.com/Scottcjn/mlx-power8, also on GitLab with full history. Code only: nothing here runs on Hugging Face infrastructure.
MLX Linux Port - POWER8 & x86 SIMD
Port of Apple's MLX to Linux with native SIMD optimizations.
Architectures Supported
| Architecture | SIMD | Vector Width |
|---|---|---|
| POWER8/9 | VSX | 128-bit (4 float, 2 double) |
| x86_64 | AVX | 256-bit (8 float, 4 double) |
| ARM64 | NEON | (use upstream) |
Files
simd/vsx_simd.h- POWER8 VSX vectorizationsimd/avx_simd.h- x86 AVX vectorizationsimd/type_linux.h- Architecture detectionBUILD_POWER8.md- Build instructions
Usage
Copy simd/ contents to mlx/backend/cpu/simd/ in your MLX source tree.
Why?
MLX networking uses standard TCP sockets - already portable! Only the SIMD backend needed porting for each architecture.
Credits
- Apple MLX team (original framework)
- Elyan Labs (POWER8/x86 Linux port)
Part of the Elyan Labs Ecosystem
Inference Providers NEW
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