+ ܳju ^RIHt!RR]4t!RR]4t!RR]4t!RR ]4t!R R ]4t!R R ]4tR#))Optimizer1Statec6aa]tRt^toRV3RlltRtVtV;t#)Lionc  :<\S V`RVVVRVVVVVR7 R#)aB Base Lion optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. lr (`float`, defaults to 1e-4): The learning rate. betas (`tuple(float, float)`, defaults to (0.9, 0.999)): The beta values are the decay rates of the first and second-order moment of the optimizer. weight_decay (`float`, defaults to 0): The weight decay value for the optimizer. optim_bits (`int`, defaults to 32): The number of bits of the optimizer state. args (`object`, defaults to `None`): An object with additional arguments. min_8bit_size (`int`, defaults to 4096): The minimum number of elements of the parameter tensors for 8-bit optimization. is_paged (`bool`, defaults to `False`): Whether the optimizer is a paged optimizer or not. lionis_pagedNsuper__init__) selfparamslrbetas weight_decay optim_bitsargs min_8bit_sizer __class__s &&&&&&&&&X/home/luca/screen-checking/.venv/lib/python3.14/site-packages/bitsandbytes/optim/lion.pyr Lion.__init__ s6@            )-C6?g?gGz?r NF__name__ __module__ __qualname____firstlineno__r __static_attributes____classdictcell__ __classcell__r __classdict__s@@rrrs+ + rrc6aa]tRt^7toRV3RlltRtVtV;t#)Lion8bitc  :<\SV`RVVVRV^VVVR7 R#)a 8-bit Lion optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. lr (`float`, defaults to 1e-4): The learning rate. betas (`tuple(float, float)`, defaults to (0.9, 0.999)): The beta values are the decay rates of the first and second-order moment of the optimizer. weight_decay (`float`, defaults to 0): The weight decay value for the optimizer. args (`object`, defaults to `None`): An object with additional arguments. min_8bit_size (`int`, defaults to 4096): The minimum number of elements of the parameter tensors for 8-bit optimization. is_paged (`bool`, defaults to `False`): Whether the optimizer is a paged optimizer or not. rrr Nr rrrrrrrr rs &&&&&&&&rr Lion8bit.__init__8s5:           rrrrrNrFrr's@@rr*r*7( ( rr*c6aa]tRt^ctoRV3RlltRtVtV;t#) Lion32bitc  :<\SV`RVVVRV^ VVVR7 R#)a 32-bit Lion optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. lr (`float`, defaults to 1e-4): The learning rate. betas (`tuple(float, float)`, defaults to (0.9, 0.999)): The beta values are the decay rates of the first and second-order moment of the optimizer. weight_decay (`float`, defaults to 0): The weight decay value for the optimizer. args (`object`, defaults to `None`): An object with additional arguments. min_8bit_size (`int`, defaults to 4096): The minimum number of elements of the parameter tensors for 8-bit optimization. is_paged (`bool`, defaults to `False`): Whether the optimizer is a paged optimizer or not. rrr Nr r,s &&&&&&&&rr Lion32bit.__init__ds5:            rrr.rr's@@rr1r1cr/rr1c6aa]tRt^toRV3RlltRtVtV;t#) PagedLionc  :<\SV`RVVVRVVVVRR7 R#)a Paged Lion optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. lr (`float`, defaults to 1e-4): The learning rate. betas (`tuple(float, float)`, defaults to (0.9, 0.999)): The beta values are the decay rates of the first and second-order moment of the optimizer. weight_decay (`float`, defaults to 0): The weight decay value for the optimizer. optim_bits (`int`, defaults to 32): The number of bits of the optimizer state. args (`object`, defaults to `None`): An object with additional arguments. min_8bit_size (`int`, defaults to 4096): The minimum number of elements of the parameter tensors for 8-bit optimization. rrTr Nr ) rrrrrrrrrs &&&&&&&&rr PagedLion.__init__s5:            rr)rrrrNrrr's@@rr5r5r/rr5c6aa]tRt^toRV3RlltRtVtV;t#) PagedLion8bitc  :<\SV`RVVVRV^VVRR7 R#)a Paged 8-bit Lion optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. lr (`float`, defaults to 1e-4): The learning rate. betas (`tuple(float, float)`, defaults to (0.9, 0.999)): The beta values are the decay rates of the first and second-order moment of the optimizer. weight_decay (`float`, defaults to 0): The weight decay value for the optimizer. args (`object`, defaults to `None`): An object with additional arguments. min_8bit_size (`int`, defaults to 4096): The minimum number of elements of the parameter tensors for 8-bit optimization. rrTr Nr rrrrrrrrs&&&&&&&rr PagedLion8bit.__init__s54           rrrrrNrrr's@@rr9r9% % rr9c6aa]tRt^toRV3RlltRtVtV;t#)PagedLion32bitc  :<\SV`RVVVRV^ VVRR7 R#)a Paged 32-bit Lion optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. lr (`float`, defaults to 1e-4): The learning rate. betas (`tuple(float, float)`, defaults to (0.9, 0.999)): The beta values are the decay rates of the first and second-order moment of the optimizer. weight_decay (`float`, defaults to 0): The weight decay value for the optimizer. args (`object`, defaults to `None`): An object with additional arguments. min_8bit_size (`int`, defaults to 4096): The minimum number of elements of the parameter tensors for 8-bit optimization. rrTr Nr r;s&&&&&&&rr PagedLion32bit.__init__s54            rrr=rr's@@rr@r@r>rr@N)bitsandbytes.optim.optimizerrrr*r1r5r9r@rrrrDsW 9, ?, ^) ) X) ) X) ) X& O& R& _& r