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"
| """Vision-tower adapter: wraps kimi_k3_vision.VisionModel for mlx-vlm.""" | |
| import importlib.util | |
| import os | |
| import sys | |
| from typing import Dict, List, Tuple | |
| import mlx.core as mx | |
| import mlx.nn as nn | |
| from .config import VisionConfig as WrapperVisionConfig | |
| def _load_vision_module(): | |
| """kimi_k3_vision.py ships alongside the weights; import it from wherever | |
| this package lives so a downloaded repo works without installation.""" | |
| if "kimi_k3_vision" in sys.modules: | |
| return sys.modules["kimi_k3_vision"] | |
| try: | |
| import kimi_k3_vision # noqa: F401 | |
| return sys.modules["kimi_k3_vision"] | |
| except ImportError: | |
| pass | |
| for d in (os.path.dirname(os.path.dirname(os.path.abspath(__file__))), | |
| os.path.dirname(os.path.abspath(__file__))): | |
| p = os.path.join(d, "kimi_k3_vision.py") | |
| if os.path.exists(p): | |
| spec = importlib.util.spec_from_file_location("kimi_k3_vision", p) | |
| mod = importlib.util.module_from_spec(spec) | |
| sys.modules["kimi_k3_vision"] = mod | |
| spec.loader.exec_module(mod) | |
| return mod | |
| raise ImportError("kimi_k3_vision.py not found next to kimi_k3_vl/") | |
| _v = _load_vision_module() | |
| class VisionModel(nn.Module): | |
| def __init__(self, config: WrapperVisionConfig): | |
| super().__init__() | |
| self.cfg = _v.VisionConfig.from_dict(config.raw) | |
| self.tower = _v.VisionModel(self.cfg) | |
| def __call__(self, pixel_values: mx.array, grid_thws) -> List[mx.array]: | |
| """pixel_values: (L, 3, patch, patch) pre-extracted patches. | |
| Returns one (n_i, text_hidden) array per image.""" | |
| return self.tower(pixel_values, grid_thws) | |
| def sanitize(self, weights: Dict[str, mx.array]) -> Dict[str, mx.array]: | |
| return {f"tower.{k}": v for k, v in self.tower.sanitize(weights).items()} | |