quantize: be able to explicitly specify quantization type of output and token embedding tensors #6239
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slaren
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ggerganov
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…anov#6239) * quantize: be able to specify the output tensor type * quantize: be able to specify the token embedding tensor type --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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…anov#6239) * quantize: be able to specify the output tensor type * quantize: be able to specify the token embedding tensor type --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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…anov#6239) * quantize: be able to specify the output tensor type * quantize: be able to specify the token embedding tensor type --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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Two new command line options for the
quantizetool:--output-tensor-type ggml_typespecifies the type of the output tensor--token-embedding-type ggml_typespecifies the type of the token embedding tensorThe
ggml_typeargument is the string thatggmluses to identify the various possible types (q4_0, q4_1, ..., f16, etc., seetype_traitsinggml.c.Can be useful e.g. when comparing with quantization papers (where researchers tend to not worry about these tensors and just leave them at
f16), or, if one wants to fine-tune the size vs quality tradeoff (particularly relevant for very low-bit quantization and/or small models). I guess, it could be useful for Gemma as well.