Text Generation
MLX
Safetensors
kimi_k3
Mixture of Experts
reap
pruned
kimi
apple-silicon
custom_code
Instructions to use pipenetwork/Kimi-K3-REAP73-zh-code-MLX-mxfp4-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use pipenetwork/Kimi-K3-REAP73-zh-code-MLX-mxfp4-q8 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("pipenetwork/Kimi-K3-REAP73-zh-code-MLX-mxfp4-q8") 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 pipenetwork/Kimi-K3-REAP73-zh-code-MLX-mxfp4-q8 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "pipenetwork/Kimi-K3-REAP73-zh-code-MLX-mxfp4-q8" --prompt "Once upon a time"
| { | |
| "max_length": 1048576, | |
| "eos_token_id": 163586 | |
| } |