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[fix] Handle out of range values in scalar quantization #2865

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[fix] Handle out of range values in scalar quantization #2865

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7 changes: 5 additions & 2 deletions sentence_transformers/quantization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -423,9 +423,12 @@ def quantize_embeddings(
steps = (ranges[1, :] - ranges[0, :]) / 255

if precision == "uint8":
return ((embeddings - starts) / steps).astype(np.uint8)
q_vals = np.floor((embeddings - starts) / steps)
return np.clip(q_vals, 0, 255).astype(np.uint8)
elif precision == "int8":
return ((embeddings - starts) / steps - 128).astype(np.int8)
q_vals = np.floor((embeddings - starts) / steps)
q_vals = np.clip(q_vals, 0, 255)
return (q_vals - 128).astype(np.int8)

if precision == "binary":
return (np.packbits(embeddings > 0).reshape(embeddings.shape[0], -1) - 128).astype(np.int8)
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