Instructions to use inferencerlabs/Hy3-MLX-Q9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use inferencerlabs/Hy3-MLX-Q9 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("inferencerlabs/Hy3-MLX-Q9") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use inferencerlabs/Hy3-MLX-Q9 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "inferencerlabs/Hy3-MLX-Q9" --prompt "Once upon a time"
- Atomic Chat
Hy3
No longer available on HF due to storage restrictions - archived here
See Hy3 in action: demonstration videos
Tested with an M3 Ultra 512 GiB using Inferencer app
- Text inference: ~20 tokens/s @ 1000 tokens ~315 GiB
Model tree for inferencerlabs/Hy3-MLX-Q9
Base model
tencent/Hy3