Text Generation
MLX
Safetensors
mlx-lm
qwen3
qwen3-next
mixture-of-experts
quantized
4-bit precision
6-bit
8-bit precision
apple-silicon
Instructions to use chanderbalaji/Grug-35B-A3B-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use chanderbalaji/Grug-35B-A3B-MLX 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("chanderbalaji/Grug-35B-A3B-MLX") 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 chanderbalaji/Grug-35B-A3B-MLX with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "chanderbalaji/Grug-35B-A3B-MLX" --prompt "Once upon a time"

- Xet hash:
- 9ea9eaadf44ddc7ff738d106ae02b50e0304fd1d9a70d53777aa4342310e0e85
- Size of remote file:
- 370 kB
- SHA256:
- e02f3bd2125683514d38a0acfd7a9eccb360148b9723cae1b5c1769237130292
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