31 lines
1,011 B
Python
31 lines
1,011 B
Python
from logging import getLogger
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from ._base import *
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from ..utils.import_utils import compare_transformers_version
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if compare_transformers_version("v4.28.0", op="ge"):
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from ..nn_modules.fused_llama_attn import FusedLlamaAttentionForQuantizedModel
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from ..nn_modules.fused_llama_mlp import FusedLlamaMLPForQuantizedModel
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else:
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FusedLlamaAttentionForQuantizedModel = None
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FusedLlamaMLPForQuantizedModel = None
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logger = getLogger(__name__)
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class LlamaGPTQForCausalLM(BaseGPTQForCausalLM):
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layer_type = "LlamaDecoderLayer"
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layers_block_name = "model.layers"
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outside_layer_modules = ["model.embed_tokens", "model.norm"]
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inside_layer_modules = [
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["self_attn.k_proj", "self_attn.v_proj", "self_attn.q_proj"],
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["self_attn.o_proj"],
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["mlp.up_proj", "mlp.gate_proj"],
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["mlp.down_proj"]
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]
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fused_attn_module_type = FusedLlamaAttentionForQuantizedModel
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fused_mlp_module_type = FusedLlamaMLPForQuantizedModel
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__all__ = ["LlamaGPTQForCausalLM"]
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