| license: mit | |
| library_name: mlx | |
| tags: | |
| - depth-estimation | |
| - mlx | |
| - apple-silicon | |
| base_model: robbyant/lingbot-depth-pretrain-vitl-14-v0.5 | |
| # lingbot-depth-mlx | |
| MLX weights for [LingBot-Depth](https://github.com/Robbyant/lingbot-depth) (`mdm`), | |
| pre-converted for the `mlx-native` backend of | |
| [lingbot-depth-viz](https://github.com/WT-MM/lingbot-depth-viz). | |
| These are the original `robbyant/lingbot-depth-pretrain-vitl-14-v0.5` weights, | |
| converted to MLX `safetensors` with the position embeddings precomputed, so the | |
| whole model runs on Apple Silicon through `mlx.core` alone. Hosting them lets the | |
| torch-free install run without downloading the torch checkpoint or running the | |
| conversion: | |
| ```bash | |
| uv sync --extra mlx | |
| uv run lingbot-depth-viz --backend mlx-native --mode benchmark | |
| # weights.safetensors is fetched from here on first run | |
| ``` | |
| ## Files | |
| - `weights.safetensors` — MLX arrays (bf16 encoder, fp32 decoder) plus precomputed | |
| position embeddings. | |
| - `config.json` — model dims and preprocessing constants read by the runtime. | |
| ## Provenance | |
| Produced by `--mode convert-mlx` (converter_version 1). Parity vs torch-MPS is | |
| 0.27–0.48% AbsRel end-to-end. See the repo's `results/mlx-backend.md`. | |