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[OV] Add support for nf4_f8e4m3 quantization mode #1148

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Feb 18, 2025
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4 changes: 2 additions & 2 deletions docs/source/openvino/export.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ Check out the help for more options:

```text
usage: optimum-cli export openvino [-h] -m MODEL [--task TASK] [--framework {pt,tf}] [--trust-remote-code]
[--weight-format {fp32,fp16,int8,int4,mxfp4,nf4}] [--quant-mode {int8,f8e4m3,f8e5m2}]
[--weight-format {fp32,fp16,int8,int4,mxfp4,nf4}] [--quant-mode {int8,f8e4m3,f8e5m2,nf4_f8e4m3}]
[--library {transformers,diffusers,timm,sentence_transformers,open_clip}]
[--cache_dir CACHE_DIR] [--pad-token-id PAD_TOKEN_ID] [--ratio RATIO] [--sym]
[--group-size GROUP_SIZE] [--backup-precision {none,int8_sym,int8_asym}]
Expand Down Expand Up @@ -67,7 +67,7 @@ Optional arguments:
on your local machine arbitrary code present in the model repository.
--weight-format {fp32,fp16,int8,int4,mxfp4,nf4}
The weight format of the exported model.
--quant-mode {int8,f8e4m3,f8e5m2}
--quant-mode {int8,f8e4m3,f8e5m2,nf4_f8e4m3}
Quantization precision mode. This is used for applying full model quantization including
activations.
--library {transformers,diffusers,timm,sentence_transformers,open_clip}
Expand Down
78 changes: 50 additions & 28 deletions optimum/commands/export/openvino.py
Original file line number Diff line number Diff line change
Expand Up @@ -78,7 +78,7 @@ def parse_args_openvino(parser: "ArgumentParser"):
optional_group.add_argument(
"--quant-mode",
type=str,
choices=["int8", "f8e4m3", "f8e5m2"],
choices=["int8", "f8e4m3", "f8e5m2", "nf4_f8e4m3"],
default=None,
help=(
"Quantization precision mode. This is used for applying full model quantization including activations. "
Expand Down Expand Up @@ -348,23 +348,7 @@ def run(self):
if no_compression_parameter_provided(self.args) and self.args.weight_format == "int4":
quantization_config = get_default_int4_config(self.args.model)
else:
is_int8 = self.args.weight_format == "int8"
quantization_config = {
"bits": 8 if is_int8 else 4,
"ratio": 1.0 if is_int8 else (self.args.ratio or _DEFAULT_4BIT_CONFIG["ratio"]),
"sym": self.args.sym or False,
"group_size": -1 if is_int8 else self.args.group_size,
"all_layers": None if is_int8 else self.args.all_layers,
"dataset": self.args.dataset,
"num_samples": self.args.num_samples,
"quant_method": "awq" if self.args.awq else "default",
"sensitivity_metric": self.args.sensitivity_metric,
"scale_estimation": self.args.scale_estimation,
"gptq": self.args.gptq,
"lora_correction": self.args.lora_correction,
"weight_format": self.args.weight_format,
"backup_precision": self.args.backup_precision,
}
quantization_config = prepare_wc_config(self.args, _DEFAULT_4BIT_CONFIG)

if quantization_config.get("dataset", None) is not None:
quantization_config["trust_remote_code"] = self.args.trust_remote_code
Expand All @@ -375,16 +359,22 @@ def run(self):
"Dataset is required for full quantization. Please provide it with --dataset argument."
)

quantization_config = {
"weight_format": self.args.quant_mode,
"activation_format": self.args.quant_mode,
"bits": 8,
"sym": self.args.sym or False,
"dataset": self.args.dataset,
"num_samples": self.args.num_samples,
"smooth_quant_alpha": self.args.smooth_quant_alpha,
"trust_remote_code": self.args.trust_remote_code,
}
if self.args.quant_mode == "nf4_f8e4m3":
wc_config = prepare_wc_config(self.args, _DEFAULT_4BIT_CONFIG)
wc_config["weight_format"] = "nf4"

q_config = prepare_q_config(self.args)
q_config["activation_format"] = "f8e4m3"

quantization_config = {
"weight_quantization_config": wc_config,
"full_quantization_config": q_config,
"num_samples": self.args.num_samples,
"dataset": self.args.dataset,
"trust_remote_code": self.args.trust_remote_code,
}
else:
quantization_config = prepare_q_config(self.args)
ov_config = OVConfig(quantization_config=quantization_config)

quantization_config = ov_config.quantization_config if ov_config else None
Expand Down Expand Up @@ -483,3 +473,35 @@ def run(self):
variant=self.args.variant,
# **input_shapes,
)


def prepare_wc_config(args, default_configs):
is_int8 = args.weight_format == "int8"
return {
"bits": 8 if is_int8 else 4,
"ratio": 1.0 if is_int8 else (args.ratio or default_configs["ratio"]),
"sym": args.sym or False,
"group_size": -1 if is_int8 else args.group_size,
"all_layers": None if is_int8 else args.all_layers,
"dataset": args.dataset,
"num_samples": args.num_samples,
"quant_method": "awq" if args.awq else "default",
"sensitivity_metric": args.sensitivity_metric,
"scale_estimation": args.scale_estimation,
"gptq": args.gptq,
"lora_correction": args.lora_correction,
"weight_format": args.weight_format,
"backup_precision": args.backup_precision,
}


def prepare_q_config(args):
return {
"activation_format": args.quant_mode,
"bits": 8,
"sym": args.sym or False,
"dataset": args.dataset,
"num_samples": args.num_samples,
"smooth_quant_alpha": args.smooth_quant_alpha,
"trust_remote_code": args.trust_remote_code,
}
4 changes: 4 additions & 0 deletions optimum/intel/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -84,6 +84,7 @@
"OVQuantizationConfig",
"OVWeightQuantizationConfig",
"OVDynamicQuantizationConfig",
"OVMixedQuantizationConfig",
]
)
else:
Expand All @@ -94,6 +95,7 @@
"OVQuantizationConfig",
"OVWeightQuantizationConfig",
"OVDynamicQuantizationConfig",
"OVMixedQuantizationConfig",
]
)

Expand Down Expand Up @@ -272,6 +274,7 @@
except OptionalDependencyNotAvailable:
from .utils.dummy_openvino_and_nncf_objects import (
OVDynamicQuantizationConfig,
OVMixedQuantizationConfig,
OVQuantizationConfig,
OVQuantizer,
OVTrainingArguments,
Expand All @@ -280,6 +283,7 @@
else:
from .openvino import (
OVDynamicQuantizationConfig,
OVMixedQuantizationConfig,
OVQuantizationConfig,
OVQuantizer,
OVTrainingArguments,
Expand Down
8 changes: 7 additions & 1 deletion optimum/intel/openvino/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,13 @@
from .trainer import OVTrainer


from .configuration import OVConfig, OVDynamicQuantizationConfig, OVQuantizationConfig, OVWeightQuantizationConfig
from .configuration import (
OVConfig,
OVDynamicQuantizationConfig,
OVMixedQuantizationConfig,
OVQuantizationConfig,
OVWeightQuantizationConfig,
)
from .modeling import (
OVModelForAudioClassification,
OVModelForAudioFrameClassification,
Expand Down
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