gguf-py: add support for I8, I16 and I32 #6045
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This code is equivalent as before, but now it is prepared to easily add more NumPy dtypes.
These types are allowed in the GGUF specification.
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Will merge after #6050 |
ggerganov
approved these changes
Mar 14, 2024
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@ggerganov my apologies for the |
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No problem. Btw, I think we need to update the |
I sent a PR to do so here: #6060. |
NeoZhangJianyu
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* Refactor dtype handling to be extensible This code is equivalent as before, but now it is prepared to easily add more NumPy dtypes. * Add support for I8, I16 and I32 These types are allowed in the GGUF specification. * Add support for I8, I16 and I32 to gguf_writer * Add support for I8, I16, I32 to gguf_reader
NeoZhangJianyu
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hodlen
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* Refactor dtype handling to be extensible This code is equivalent as before, but now it is prepared to easily add more NumPy dtypes. * Add support for I8, I16 and I32 These types are allowed in the GGUF specification. * Add support for I8, I16 and I32 to gguf_writer * Add support for I8, I16, I32 to gguf_reader
hodlen
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mishig25
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Jun 3, 2024
Bring `GGMLQuantizationType` up to date; adds `I8`, `I16`, `I32`, `I64`, `F64`, `IQ1_M` and `BF16`. Added in: * ggerganov/llama.cpp#6045 * ggerganov/llama.cpp#6062 * ggerganov/llama.cpp#6302 * ggerganov/llama.cpp#6412
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These types are documented at https://github.com/ggerganov/ggml/blob/9c2adc4962a3a5d259f10db2171e0df5c83e4b05/docs/gguf.md, and implemented in C at
llama.cpp/ggml.h
Line 340 in 19885d2