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2 changes: 1 addition & 1 deletion LICENSE
Original file line number Diff line number Diff line change
Expand Up @@ -186,7 +186,7 @@
same "printed page" as the copyright notice for easier
identification within third-party archives.

Copyright [yyyy] [name of copyright owner]
Copyright 2026 Anush008

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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3 changes: 0 additions & 3 deletions README.md
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Expand Up @@ -345,9 +345,6 @@ println!("Sparse non-zero tokens: {}", sparse_emb.indices.len());
println!("ColBERT token count: {}", output.colbert[0].len());
```

> [!NOTE]
> The default quantized model (`BGEM3Q`) is optimized for CPUs; passing a GPU execution provider (like CUDA) will fail. For GPU inference or custom requirements, you can export your own custom model (FP32, FP16, or INT8) using the ONNX export script from hf `gpahal/bge-m3-onnx-int8` and load it via `try_new_from_path`.

## Model cache

Models download on first use and load from cache afterwards (no network needed at runtime once cached).
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