gguf-py : fix and simplify quantized shape round-trip#7483
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| tensor_names.add(tensor_name) | ||
| ggml_type = GGMLQuantizationType(raw_dtype[0]) | ||
| n_elems = int(np.prod(dims)) | ||
| np_dims = tuple(reversed(dims.tolist())) |
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.tolist() is necessary here to avoid an error when reshaping afterwards, something about the shape being of type np.float64 for some reason.
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* gguf-py : fix and simplify quantized shape round-trip * gguf-py : remove unused import
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* gguf-py : fix and simplify quantized shape round-trip * gguf-py : remove unused import
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* gguf-py : fix and simplify quantized shape round-trip * gguf-py : remove unused import
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* gguf-py : fix and simplify quantized shape round-trip * gguf-py : remove unused import
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* gguf-py : fix and simplify quantized shape round-trip * gguf-py : remove unused import
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* gguf-py : fix and simplify quantized shape round-trip * gguf-py : remove unused import
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* gguf-py : fix and simplify quantized shape round-trip * gguf-py : remove unused import
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* gguf-py : fix and simplify quantized shape round-trip * gguf-py : remove unused import
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#7234 has broken quantized tensor copy in
gguf-new-metadata.py. (thanks @CISC for finding this! ref: #7234 (comment))This was originally reported for
IQ4_NL, but I think it affects all quantized tensor types.(Converted models are fine, no worries. This fixes a crash of
gguf-new-metadata.py)Summary of changes
quant_shape_from_byte_shapeandquant_shape_to_byte_shapeto convert between shapesReaderTensorto the shape GGUFWriter expects to receiveshapeof theReaderTensors are left unchanged to avoid changing the behavior ofgguf-dump.pyTesting
Q8_0Q8_0bloom model when addinggeneral.descriptionwithgguf-new-metadata.py, then removing it, and the resulting model file has the same checksum as the original model.IQ4_NLIQ4_NL. The checksums match.