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2024-01-17 17:15:29 -08:00
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input_dims<EFBFBD>h]<5D>h<16>
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group_size<EFBFBD>h]<5D>h<16>
group_size<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj/hhhNhNubah}<7D>(h!]<5D>h#]<5D>h<EFBFBD>ah%]<5D>h']<5D>h)]<5D>uh+h<>hj+ubh<62>)<29><>}<7D>(h<05>:<3A>h]<5D>h<16>:<3A><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj=hhhNhNubah}<7D>(h!]<5D>h#]<5D>h<EFBFBD>ah%]<5D>h']<5D>h)]<5D>uh+h<>hj+ubhT)<29><>}<7D>(h<05> <20>h]<5D>h<16> <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjKhhhNhNubah}<7D>(h!]<5D>h#]<5D>h`ah%]<5D>h']<5D>h)]<5D>uh+hShj+ubh<62>)<29><>}<7D>(h<05>intint<6E>h]<5D>h<EFBFBD>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj`hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj]ubh<62>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjohhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj]ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69>h<EFBFBD><68>reftype<70>j<00> reftarget<65><74>int<6E><74> refspecific<69><63><EFBFBD> py:module<6C>j<00>py:class<73>Nuh+h<>hjYubah}<7D>(h!]<5D>h#]<5D>h<EFBFBD>ah%]<5D>h']<5D>h)]<5D>uh+h<>hj+ubhT)<29><>}<7D>(h<05> <20>h]<5D>h<16> <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h`ah%]<5D>h']<5D>h)]<5D>uh+hShj+ubj<62>)<29><>}<7D>(h<05>=<3D>h]<5D>h<16>=<3D><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>jah%]<5D>h']<5D>h)]<5D>uh+j<>hj+ubhT)<29><>}<7D>(h<05> <20>h]<5D>h<16> <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h`ah%]<5D>h']<5D>h)]<5D>uh+hShj+ubj)<29><>}<7D>(h<05>64<36>h]<5D>h<16>64<36><34><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>j ah%]<5D>h']<5D>h)]<5D><>support_smartquotes<65><73>uh+jhj+ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>hjhkuh+h<>hh<>ubh<62>)<29><>}<7D>(h<05>bits: intint = 4<>h]<5D>(h<>)<29><>}<7D>(h<05>bits<74>h]<5D>h<16>bits<74><73><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h<EFBFBD>ah%]<5D>h']<5D>h)]<5D>uh+h<>hj<>ubh<62>)<29><>}<7D>(h<05>:<3A>h]<5D>h<16>:<3A><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h<EFBFBD>ah%]<5D>h']<5D>h)]<5D>uh+h<>hj<>ubhT)<29><>}<7D>(h<05> <20>h]<5D>h<16> <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h`ah%]<5D>h']<5D>h)]<5D>uh+hShj<>ubh<62>)<29><>}<7D>(h<05>intint<6E>h]<5D>h<EFBFBD>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hjubh<62>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hjubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69>h<EFBFBD><68>reftype<70>j<00> reftarget<65><74>int<6E><74> refspecific<69><63><EFBFBD> py:module<6C>j<00>py:class<73>Nuh+h<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h<EFBFBD>ah%]<5D>h']<5D>h)]<5D>uh+h<>hj<>ubhT)<29><>}<7D>(h<05> <20>h]<5D>h<16> <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj6hhhNhNubah}<7D>(h!]<5D>h#]<5D>h`ah%]<5D>h']<5D>h)]<5D>uh+hShj<>ubj<62>)<29><>}<7D>(h<05>=<3D>h]<5D>h<16>=<3D><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjDhhhNhNubah}<7D>(h!]<5D>h#]<5D>jah%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubhT)<29><>}<7D>(h<05> <20>h]<5D>h<16> <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjRhhhNhNubah}<7D>(h!]<5D>h#]<5D>h`ah%]<5D>h']<5D>h)]<5D>uh+hShj<>ubj)<29><>}<7D>(h<05>4<>h]<5D>h<16>4<><34><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj`hhhNhNubah}<7D>(h!]<5D>h#]<5D>j ah%]<5D>h']<5D>h)]<5D><>support_smartquotes<65><73>uh+jhj<>ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>hjhkuh+h<>hh<>ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>hjhkuh+h<>hhEhhhhlhNubeh}<7D>(h!]<5D>h<ah#]<5D>(<28>sig<69><67>
sig-object<63>eh%]<5D>h']<5D>h)]<5D><>module<6C><65>mlx.nn<6E>jh<06>fullname<6D>h<EFBFBD>uh+hCh<1D>r/Users/awnihannun/repos/mlx/python/mlx/nn/layers/quantized.py:docstring of mlx.nn.layers.quantized.QuantizedLinear<61>hKhh@hhubh<00> desc_content<6E><74><EFBFBD>)<29><>}<7D>(hhh]<5D>(h <09> paragraph<70><68><EFBFBD>)<29><>}<7D>(h<05>NApplies an affine transformation to the input using a quantized weight matrix.<2E>h]<5D>h<16>NApplies an affine transformation to the input using a quantized weight matrix.<2E><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>h<1D>r/Users/awnihannun/repos/mlx/python/mlx/nn/layers/quantized.py:docstring of mlx.nn.layers.quantized.QuantizedLinear<61>hKhj<>hhubj<62>)<29><>}<7D>(h<05><>It is the quantized equivalent of :class:`mlx.nn.Linear`. For now its
parameters are frozen and will not be included in any gradient computation
but this will probably change in the future.<2E>h]<5D>(h<16>"It is the quantized equivalent of <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubh<62>)<29><>}<7D>(h<05>:class:`mlx.nn.Linear`<60>h]<5D>h <09>literal<61><6C><EFBFBD>)<29><>}<7D>(hj<>h]<5D>h<16> mlx.nn.Linear<61><72><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>(<28>xref<65><66>py<70><79>py-class<73>eh%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><>refdoc<6F><63>-python/nn/_autosummary/mlx.nn.QuantizedLinear<61><72> refdomain<69>j<EFBFBD><00>reftype<70><65>class<73><73> refexplicit<69><74><EFBFBD>refwarn<72><6E><EFBFBD> py:module<6C>j<EFBFBD><00>py:class<73>h<EFBFBD><68> reftarget<65><74> mlx.nn.Linear<61>uh+h<>hj<>hKhj<>ubh<16><>. For now its
parameters are frozen and will not be included in any gradient computation
but this will probably change in the future.<2E><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>hKhj<>hhubj<62>)<29><>}<7D>(h<05>iQuantizedLinear also provides two useful classmethods to convert linear
layers to QuantizedLinear layers.<2E>h]<5D>h<16>iQuantizedLinear also provides two useful classmethods to convert linear
layers to QuantizedLinear layers.<2E><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>hKhj<>hhubh <09> bullet_list<73><74><EFBFBD>)<29><>}<7D>(hhh]<5D>(h <09> list_item<65><6D><EFBFBD>)<29><>}<7D>(h<05>}:meth:`from_linear` returns a QuantizedLinear layer that applies the same
linear transformation up to the quantization error.<2E>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>}:meth:`from_linear` returns a QuantizedLinear layer that applies the same
linear transformation up to the quantization error.<2E>h]<5D>(h<>)<29><>}<7D>(h<05>:meth:`from_linear`<60>h]<5D>j<EFBFBD>)<29><>}<7D>(hj<>h]<5D>h<16> from_linear()<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>(j<><00>py<70><79>py-meth<74>eh%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><>refdoc<6F>j<EFBFBD><00> refdomain<69>j<00>reftype<70><65>meth<74><68> refexplicit<69><74><EFBFBD>refwarn<72><6E>j<EFBFBD>j<>j<>h<>j<EFBFBD><00> from_linear<61>uh+h<>hj<>hK
hj<>ubh<16>j returns a QuantizedLinear layer that applies the same
linear transformation up to the quantization error.<2E><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>hK
hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>hhhj<>hNubj<62>)<29><>}<7D>(h<05>d:meth:`quantize_module` swaps all the linear layers of the passed module
with QuantizedLinear ones.
<EFBFBD>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>c:meth:`quantize_module` swaps all the linear layers of the passed module
with QuantizedLinear ones.<2E>h]<5D>(h<>)<29><>}<7D>(h<05>:meth:`quantize_module`<60>h]<5D>j<EFBFBD>)<29><>}<7D>(hj-h]<5D>h<16>quantize_module()<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj/hhhNhNubah}<7D>(h!]<5D>h#]<5D>(j<><00>py<70><79>py-meth<74>eh%]<5D>h']<5D>h)]<5D>uh+j<>hj+ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><>refdoc<6F>j<EFBFBD><00> refdomain<69>j9<00>reftype<70><65>meth<74><68> refexplicit<69><74><EFBFBD>refwarn<72><6E>j<EFBFBD>j<>j<>h<>j<EFBFBD><00>quantize_module<6C>uh+h<>hj<>hK hj'ubh<16>L swaps all the linear layers of the passed module
with QuantizedLinear ones.<2E><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj'hhhNhNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>hK hj#ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>hhhj<>hNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><>bullet<65><74>-<2D>uh+j<>hj<>hK
hj<>hhubh <09>
field_list<EFBFBD><EFBFBD><EFBFBD>)<29><>}<7D>(hhh]<5D>h <09>field<6C><64><EFBFBD>)<29><>}<7D>(hhh]<5D>(h <09>
field_name<EFBFBD><EFBFBD><EFBFBD>)<29><>}<7D>(h<05>
Parameters<EFBFBD>h]<5D>h<16>
Parameters<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjohhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+jmhjjhhlhKubh <09>
field_body<EFBFBD><EFBFBD><EFBFBD>)<29><>}<7D>(hhh]<5D>j<EFBFBD>)<29><>}<7D>(hhh]<5D>(j<>)<29><>}<7D>(hhh]<5D>j<EFBFBD>)<29><>}<7D>(h<05>?input_dims (intint) -- The dimensionality of the input features<65>h]<5D>(h<00>literal_strong<6E><67><EFBFBD>)<29><>}<7D>(h<05>
input_dims<EFBFBD>h]<5D>h<16>
input_dims<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubh<16> (<28><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubh<62>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>int<6E>h]<5D>h<00>literal_emphasis<69><73><EFBFBD>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubh<62>)<29><>}<7D>(h<05>int<6E>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69><6E>py<70><79> refexplicit<69><74><EFBFBD>reftype<70>j<00> reftarget<65>j<EFBFBD><00> refspecific<69><63>j<EFBFBD>j<>j<>h<>uh+h<>hj<>ubh<16>)<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubh<16> – <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubh<16>(The dimensionality of the input features<65><73><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubj<62>)<29><>}<7D>(hhh]<5D>j<EFBFBD>)<29><>}<7D>(h<05>Aoutput_dims (intint) -- The dimensionality of the output features<65>h]<5D>(j<>)<29><>}<7D>(h<05> output_dims<6D>h]<5D>h<16> output_dims<6D><73><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubh<16> (<28><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubh<62>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>int<6E>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hjubh<62>)<29><>}<7D>(h<05>int<6E>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj4hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj0ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hjubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69>j<EFBFBD><00> refexplicit<69><74><EFBFBD>reftype<70>j<00> reftarget<65>j6j<><00>j<EFBFBD>j<>j<>h<>uh+h<>hj<>ubh<16>)<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubh<16> – <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubh<16>)The dimensionality of the output features<65><73><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubj<62>)<29><>}<7D>(hhh]<5D>j<EFBFBD>)<29><>}<7D>(h<05>ibias (boolbool, optionaloptional) -- If set to False then the layer will not use
a bias. (default: True).<2E>h]<5D>(j<>)<29><>}<7D>(h<05>bias<61>h]<5D>h<16>bias<61><73><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjrhhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjnubh<16> (<28><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjnhhhNhNubh<62>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>bool<6F>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>bool<6F>h]<5D>h<16>bool<6F><6C><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubh<62>)<29><>}<7D>(h<05>bool<6F>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>bool<6F>h]<5D>h<16>bool<6F><6C><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69>j<EFBFBD><00> refexplicit<69><74><EFBFBD>reftype<70>j<00> reftarget<65>j<EFBFBD>j<><00>j<EFBFBD>j<>j<>h<>uh+h<>hjnubj<62>)<29><>}<7D>(h<05>, <20>h]<5D>h<16>, <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjnubh<62>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>optional<61>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>optional<61>h]<5D>h<16>optional<61><6C><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubh<62>)<29><>}<7D>(h<05>optional<61>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>optional<61>h]<5D>h<16>optional<61><6C><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69>j<EFBFBD><00> refexplicit<69><74><EFBFBD>reftype<70>j<00> reftarget<65>j<EFBFBD>j<><00>j<EFBFBD>j<>j<>h<>uh+h<>hjnubh<16>)<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjnhhhNhNubh<16> – <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjnhhhNhNubh<16>
If set to <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjnhhhNhNubj<62>)<29><>}<7D>(h<05> ``False``<60>h]<5D>h<16>False<73><65><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjnhhhNhNubh<16>5 then the layer will not use
a bias. (default: True).<2E><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjnhhhNhNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjkubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubj<62>)<29><>}<7D>(hhh]<5D>j<EFBFBD>)<29><>}<7D>(h<05>vgroup_size (intint, optionaloptional) -- The group size to use for the quantized
weight. See quantize(). (default: 64)<29>h]<5D>(j<>)<29><>}<7D>(h<05>
group_size<EFBFBD>h]<5D>h<16>
group_size<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjAhhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj=ubh<16> (<28><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj=hhhNhNubh<62>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>int<6E>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjZhhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjVubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hjSubh<62>)<29><>}<7D>(h<05>int<6E>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjshhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjoubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hjSubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69>j<EFBFBD><00> refexplicit<69><74><EFBFBD>reftype<70>j<00> reftarget<65>juj<><00>j<EFBFBD>j<>j<>h<>uh+h<>hj=ubj<62>)<29><>}<7D>(h<05>, <20>h]<5D>h<16>, <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj=ubh<62>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>optional<61>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>optional<61>h]<5D>h<16>optional<61><6C><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubh<62>)<29><>}<7D>(h<05>optional<61>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>optional<61>h]<5D>h<16>optional<61><6C><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69>j<EFBFBD><00> refexplicit<69><74><EFBFBD>reftype<70>j<00> reftarget<65>j<EFBFBD>j<><00>j<EFBFBD>j<>j<>h<>uh+h<>hj=ubh<16>)<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj=hhhNhNubh<16> – <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj=hhhNhNubh<16>4The group size to use for the quantized
weight. See <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj=hhhNhNubh<62>)<29><>}<7D>(h<05>:func:`~mlx.core.quantize`<60>h]<5D>j<EFBFBD>)<29><>}<7D>(hj<>h]<5D>h<16>
quantize()<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>(j<><00>py<70><79>py-func<6E>eh%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><>refdoc<6F>j<EFBFBD><00> refdomain<69>j<EFBFBD><00>reftype<70><65>func<6E><63> refexplicit<69><74><EFBFBD>refwarn<72><6E>j<EFBFBD>j<>j<>h<>j<EFBFBD><00>mlx.core.quantize<7A>uh+h<>hj<>hKhj=hhubh<16>. (default: 64)<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj=hhhNhNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj:ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubj<62>)<29><>}<7D>(hhh]<5D>j<EFBFBD>)<29><>}<7D>(h<05>nbits (intint, optionaloptional) -- The bit width to use for the quantized weight.
See quantize(). (default: 4)<29>h]<5D>(j<>)<29><>}<7D>(h<05>bits<74>h]<5D>h<16>bits<74><73><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj"hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjubh<16> (<28><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubh<62>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>int<6E>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj;hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj7ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj4ubh<62>)<29><>}<7D>(h<05>int<6E>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>int<6E>h]<5D>h<16>int<6E><74><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjThhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjPubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj4ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69>j<EFBFBD><00> refexplicit<69><74><EFBFBD>reftype<70>j<00> reftarget<65>jVj<><00>j<EFBFBD>j<>j<>h<>uh+h<>hjubj<62>)<29><>}<7D>(h<05>, <20>h]<5D>h<16>, <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjshhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjubh<62>)<29><>}<7D>(hhh]<5D>(h<>)<29><>}<7D>(h<05>optional<61>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>optional<61>h]<5D>h<16>optional<61><6C><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubh<62>)<29><>}<7D>(h<05>optional<61>h]<5D>j<EFBFBD>)<29><>}<7D>(h<05>optional<61>h]<5D>h<16>optional<61><6C><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> condition<6F>h<EFBFBD>uh+h<>hj<>ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><> refdomain<69>j<EFBFBD><00> refexplicit<69><74><EFBFBD>reftype<70>j<00> reftarget<65>j<EFBFBD>j<><00>j<EFBFBD>j<>j<>h<>uh+h<>hjubh<16>)<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubh<16> – <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubh<16>3The bit width to use for the quantized weight.
See <20><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubh<62>)<29><>}<7D>(h<05>:func:`~mlx.core.quantize`<60>h]<5D>j<EFBFBD>)<29><>}<7D>(hj<>h]<5D>h<16>
quantize()<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hj<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>(j<><00>py<70><79>py-func<6E>eh%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><>refdoc<6F>j<EFBFBD><00> refdomain<69>j<EFBFBD><00>reftype<70><65>func<6E><63> refexplicit<69><74><EFBFBD>refwarn<72><6E>j<EFBFBD>j<>j<>h<>j<EFBFBD><00>mlx.core.quantize<7A>uh+h<>hj<>hKhjhhubh<16>. (default: 4)<29><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hjhhhNhNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hj<>ubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hjubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j}hjjubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+jhhjeubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+jchj<>hhhNhNubeh}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+j<>hh@hhhhlhNubeh}<7D>(h!]<5D>h#]<5D>(j<><00>class<73>eh%]<5D>h']<5D>h)]<5D><>domain<69>j<EFBFBD><00>objtype<70>j<00>desctype<70>j<00>noindex<65><78>uh+h>hhhh hNhNubeh}<7D>(h!]<5D><>mlx-nn-quantizedlinear<61>ah#]<5D>h%]<5D><>mlx.nn.quantizedlinear<61>ah']<5D>h)]<5D>uh+h
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