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aisoc/Kimi-K2.7-Code-vision
Kimi-K2.7-Code-vision is a machine learning model from aisoc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as other.
Vision-only weights (MoonViT tower + multimodal projector) extracted from moonshotai/Kimi-K2.7-Code for use with MLX-based inference stacks such as exo, in the same format as exolabs/Kimi-K2.6-vision.
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From the Hugging Face model README
Vision-only weights (MoonViT tower + multimodal projector) extracted from moonshotai/Kimi-K2.7-Code for use with MLX-based inference stacks such as exo, in the same format as exolabs/Kimi-K2.6-vision.
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.Add a model card for moonshotai/Kimi-K2.7-Code with:
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.
Same Modified MIT license as the source model; these are a subset of the original weights, unmodified. All credit to Moonshot AI.