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59952994c4
* update HQQ transformers integration * push import_utils.py * add force_hooks check in modeling_utils.py * fix | with Optional * force bias as param * check bias is Tensor * force forward for multi-gpu * review fixes pass * remove torch grad() * if any key in linear_tags fix * add cpu/disk check * isinstance return * add multigpu test + refactor tests * clean hqq_utils imports in hqq.py * clean hqq_utils imports in quantizer_hqq.py * delete hqq_utils.py * Delete src/transformers/utils/hqq_utils.py * ruff init * remove torch.float16 from __init__ in test * refactor test * isinstance -> type in quantizer_hqq.py * cpu/disk device_map check in quantizer_hqq.py * remove type(module) nn.linear check in quantizer_hqq.py * add BaseQuantizeConfig import inside HqqConfig init * remove hqq import in hqq.py * remove accelerate import from test_hqq.py * quant config.py doc update * add hqqconfig to main_classes doc * make style * __init__ fix * ruff __init__ * skip_modules list * hqqconfig format fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * test_hqq.py remove mistral comment * remove self.using_multi_gpu is False * torch_dtype default val set and logger.info * hqq.py isinstance fix * remove torch=None * torch_device test_hqq * rename test_hqq * MODEL_ID in test_hqq * quantizer_hqq setattr fix * quantizer_hqq typo fix * imports quantizer_hqq.py * isinstance quantizer_hqq * hqq_layer.bias reformat quantizer_hqq * Step 2 as comment in quantizer_hqq * prepare_for_hqq_linear() comment * keep_in_fp32_modules fix * HqqHfQuantizer reformat * quantization.md hqqconfig * quantization.md model example reformat * quantization.md # space * quantization.md space }) * quantization.md space }) * quantization_config fix doc Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * axis value check in quantization_config * format * dynamic config explanation * quant config method in quantization.md * remove shard-level progress * .cuda fix modeling_utils * test_hqq fixes * make fix-copies --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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| .. | ||
| benchmark | ||
| bettertransformer | ||
| deepspeed | ||
| extended | ||
| fixtures | ||
| fsdp | ||
| generation | ||
| models | ||
| optimization | ||
| peft_integration | ||
| pipelines | ||
| quantization | ||
| repo_utils | ||
| sagemaker | ||
| tokenization | ||
| tools | ||
| trainer | ||
| utils | ||
| __init__.py | ||
| test_backbone_common.py | ||
| test_cache_utils.py | ||
| test_configuration_common.py | ||
| test_configuration_utils.py | ||
| test_feature_extraction_common.py | ||
| test_feature_extraction_utils.py | ||
| test_image_processing_common.py | ||
| test_image_processing_utils.py | ||
| test_image_transforms.py | ||
| test_modeling_common.py | ||
| test_modeling_flax_common.py | ||
| test_modeling_flax_utils.py | ||
| test_modeling_tf_common.py | ||
| test_modeling_tf_utils.py | ||
| test_modeling_utils.py | ||
| test_pipeline_mixin.py | ||
| test_processing_common.py | ||
| test_sequence_feature_extraction_common.py | ||
| test_tokenization_common.py | ||
| test_tokenization_utils.py | ||