(name, nsamples=128, seed=0, seqlen=2048, model='', cache_dir='cache')

(model, testenc, dev = torch.device('cuda:0'))

(model_uri, cache_dir, groupsize=-1, double_groupsize=-1, bits=4, half=False, v1=True, asym=False, device_map=

(module, layers=[nn.Conv2d, nn.Linear], name='')

(module, names, name='', groupsize=-1, double_groupsize=-1, bits=4, v1=True, asym=True)

(self, parent_module, child_name, new_module, old_module)

(nsamples, seed, seqlen, model, cache_dir)

(nsamples, seed, seqlen, model, cache_dir)

(nsamples, seed, seqlen, model, cache_dir)

(self, in_features, out_features, groupsize, double_quantize_groupsize, bits, v1, asym)

(model_uri, lora_uri, cache_dir, bits = 32, groupsize=-1, device_map="auto", seqlen=2048, max_memory=None)

(model)

()

(self, input_ids)

( self, adapter_name, in_features, out_features, g

(self, module)

(self, in_features, out_features, groupsize=-1, double_groupsize=-1, bits=4, v1 = True, asym=True)

(self, adapter_name)

(self, x: torch.Tensor)

(self, inp, **kwargs)

(self, x)

(seed)

(self)