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convert : allow quantizing lora again #17453

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Merged
merged 1 commit into from
Nov 24, 2025
Merged

convert : allow quantizing lora again #17453

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2 changes: 1 addition & 1 deletion convert_hf_to_gguf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -565,7 +565,7 @@ def prepare_tensors(self):
gguf.MODEL_TENSOR.ALTUP_PREDICT_COEF,
)
)
or not new_name.endswith(".weight")
or new_name[-7:] not in (".weight", ".lora_a", ".lora_b")
):
data_qtype = gguf.GGMLQuantizationType.F32

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2 changes: 1 addition & 1 deletion convert_lora_to_gguf.py
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Expand Up @@ -242,7 +242,7 @@ def parse_args() -> argparse.Namespace:
help="path to write to; default: based on input. {ftype} will be replaced by the outtype.",
)
parser.add_argument(
"--outtype", type=str, choices=["f32", "f16", "bf16", "q8_0", "auto"], default="f16",
"--outtype", type=str, choices=["f32", "f16", "bf16", "q8_0", "auto"], default="f32",
help="output format - use f32 for float32, f16 for float16, bf16 for bfloat16, q8_0 for Q8_0, auto for the highest-fidelity 16-bit float type depending on the first loaded tensor type",
)
parser.add_argument(
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