50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
# Copyright (c) Microsoft Corporation.
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# SPDX-License-Identifier: Apache-2.0
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# DeepSpeed Team
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from deepspeed.inference.v2.model_implementations.common_parameters import *
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from deepspeed.inference.v2.model_implementations.layer_container_base import LayerContainer
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class Exaone4TransformerContainer(LayerContainer):
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"""
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Transformer layer container for the EXAONE 4.0 model.
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"""
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qkv_w: UnfusedQKVParameter
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attn_out_w: AttentionOutputParameter
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mlp_1_w: GatedMLPParameter
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mlp_2_w: MLP2Parameter
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q_norm_gamma: NormParameter
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k_norm_gamma: NormParameter
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post_attn_norm_gamma: NormParameter
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post_ff_norm_gamma: NormParameter
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PARAM_MAPPING = {
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"self_attn.q_proj.weight": "qkv_w.q_params",
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"self_attn.k_proj.weight": "qkv_w.k_params",
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"self_attn.v_proj.weight": "qkv_w.v_params",
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"self_attn.o_proj.weight": "attn_out_w.params",
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"mlp.gate_proj.weight": "mlp_1_w.gate_params",
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"mlp.up_proj.weight": "mlp_1_w.up_params",
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"mlp.down_proj.weight": "mlp_2_w.params",
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"self_attn.q_norm.weight": "q_norm_gamma.params",
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"self_attn.k_norm.weight": "k_norm_gamma.params",
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"post_attention_layernorm.weight": "post_attn_norm_gamma.params",
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"post_feedforward_layernorm.weight": "post_ff_norm_gamma.params",
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}
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class Exaone4NonTransformerContainer(LayerContainer):
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"""
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Non-Transformer layer container for the EXAONE 4.0 model.
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"""
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word_emb: EmbeddingParameter
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word_unembed: UnembedParameter
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final_norm: NormParameter
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PARAM_MAPPING = {
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"model.embed_tokens.weight": "word_emb.params",
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"model.norm.weight": "final_norm.params",
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"lm_head.weight": "word_unembed.params",
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}
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