LingBot Vision ViT L/16 — MLX (Swift) weights Unofficial MLX conversion of the LingBot Vision ViT L/16 self supervised backbone, for running natively on Apple Silicon via mlx swift. Same weights as robbyant/lingbot vision vit large , re laid out for the MLXLingBotVision Swift package. Files: model.safetensors (fp32, ~1.13 GB) + config.json (architecture parameters read by the Swift loader). Architecture: ViT L/16 — embed 1024 / depth 24 / heads 16, patch size 16, 4 storage (register) tokens, axial 2D RoPE, LayerScale, fused QKV attention with a masked K bias. Not affiliated / not endorsed This is an unofficial community conversion. It is not affiliated with or endorsed by the LingBot Vision authors (Ant Group). All credit for the model and the training method belongs to the original authors. Changes vs. the original checkpoint The conversion ( scripts/convert.py ) is numerically neutral — it only re lays out the weights for MLX Swift: Unwrapped the state dict wrappers and stripped the orig mod. / backbone. key prefixes. Baked the fused QKV bias mask into attn.qkv.bias (zeroing the K third of the bias) and dropped the mask buffer, so the Swift side is a plain fused Linear . Dropped…
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