keras-team/keras · error · ValueError
Unsupported quantization mode: {self.quantization_mode}
Error message
Unsupported quantization mode: {self.quantization_mode} What it means
Error "Unsupported quantization mode: {self.quantization_mode}" thrown in keras-team/keras.
Source
Thrown at keras/src/layers/core/embedding.py:754
)
else:
# Sub-channel: grouped dequantization using shared utility
float_embeddings = dequantize_with_sz_map(
ops.cast(unpacked_embeddings, self.compute_dtype),
embeddings_scale,
self.embeddings_zero,
self.g_idx,
group_axis=-1,
)
quant_range = (-8, 7)
elif self.quantization_mode == "int8":
float_embeddings = ops.divide(
ops.cast(embeddings_value, self.compute_dtype),
ops.expand_dims(embeddings_scale, axis=-1),
)
quant_range = (-127, 127)
else:
raise ValueError(
f"Unsupported quantization mode: {self.quantization_mode}"
)
# Merge LoRA weights in float domain.
lora_delta = (self.lora_alpha / self.lora_rank) * ops.matmul(
self.lora_embeddings_a, self.lora_embeddings_b
)
merged_float_embeddings = ops.add(float_embeddings, lora_delta)
# Requantize.
if self.quantization_mode == "int4":
if block_size is None or block_size == -1:
# Per-channel re-quantization
requantized_embeddings, new_scale = quantizers.abs_max_quantize(
merged_float_embeddings,
axis=-1,
value_range=quant_range,
dtype="int8",View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/layers/core/embedding.py:754 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25).
Data as JSON: /api/errors/375cade27e5c01bf.
Report an issue: GitHub.