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Add model.safetensors (bit-exact conversion of model.pt)
Verified signatureThis adds a safetensors export of the existing `model.pt` so the checkpoint can be consumed outside a Python runtime by safetensors-native loaders such as candle's `VarBuilder` - the load path vllm-project/semantic-router's `candle-binding` uses. safetensors also loads without pickle deserialization, which some production environments require. The conversion is bit-exact at the tensor level, not a re-encode: - Loaded `model.pt` (revision `e21cde3ccc414c56f504b322662f42c603a939ee`, the current `main`) with `torch.load(..., weights_only=True)` and saved with `safetensors.torch.save_file`. All 1,393 tensors carried over with names, shapes, and dtypes unchanged. The mixed precision is preserved exactly as stored: the mmbert text tower is bfloat16; the full SigLIP2 encoder (vision tower plus its paired text encoder, which the checkpoint bundles), the Whisper audio tower, and the projection heads are float32. - Bit-exact verification: fresh reload of the written file, every tensor compared…2dcbafa
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Upload multi-modal-embed-large final model
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