Instructions to use aidiffuser/Kimi-K2.7-Code-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aidiffuser/Kimi-K2.7-Code-vision with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Kimi-K2.7-Code-vision aidiffuser/Kimi-K2.7-Code-vision
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 1,648 Bytes
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license: other
license_name: modified-mit
license_link: https://huggingface.co/moonshotai/Kimi-K2.7-Code/blob/main/LICENSE
base_model: moonshotai/Kimi-K2.7-Code
tags:
- mlx
- vision
- kimi
- exo
---
# Kimi-K2.7-Code-vision
Vision-only weights (MoonViT tower + multimodal projector) extracted from
[moonshotai/Kimi-K2.7-Code](https://huggingface.co/moonshotai/Kimi-K2.7-Code)
for use with MLX-based inference stacks such as [exo](https://github.com/exo-explore/exo),
in the same format as [exolabs/Kimi-K2.6-vision](https://huggingface.co/exolabs/Kimi-K2.6-vision).
## Contents
- `kimi_k27_vision.safetensors` — all 335 `vision_tower.*` and `mm_projector.*`
tensors from the official repo (shards 63–64), original bfloat16, unmodified.
- `config.json` — vision config copied from the official `config.json`
(verified byte-identical to Kimi-K2.6's vision config: 27-layer MoonViT,
hidden 1152, patch 14, `sd2_tpool` merger, projector to 7168).
- `extract_vision_weights.py` — the script used to produce this repo,
for reproducibility.
## Usage with exo
Add a model card for `moonshotai/Kimi-K2.7-Code` with:
```toml
capabilities = ["text", "thinking", "thinking_toggle", "vision"]
[vision]
image_token_id = 163605
model_type = "kimi_vl"
weights_repo = "aidiffuser/Kimi-K2.7-Code-vision"
processor_repo = "moonshotai/Kimi-K2.7-Code"
```
Tested working: distributed (2× Mac Studio M3 Ultra, tensor parallelism) with
the official INT4 text weights, image understanding confirmed.
## License
Same Modified MIT license as the source model; these are a subset of the
original weights, unmodified. All credit to Moonshot AI.
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