| |
| import transformers |
| from dataclasses import dataclass, field |
| from packaging import version |
| from typing import List, Optional, Union |
|
|
| transformers_ge_4_52 = version.parse(transformers.__version__) >= version.parse('4.52') |
|
|
|
|
| class LLMModelArch: |
| qwen = 'qwen' |
| llama = 'llama' |
| internlm2 = 'internlm2' |
| chatglm = 'chatglm' |
| deepseek_v2 = 'deepseek_v2' |
| baichuan = 'baichuan' |
|
|
| yuan = 'yuan' |
| codefuse = 'codefuse' |
| phi2 = 'phi2' |
| phi3 = 'phi3' |
| phi3_small = 'phi3_small' |
| telechat = 'telechat' |
| dbrx = 'dbrx' |
|
|
|
|
| class MLLMModelArch: |
| qwen_vl = 'qwen_vl' |
| qwen_audio = 'qwen_audio' |
| qwen2_vl = 'qwen2_vl' |
| qwen2_audio = 'qwen2_audio' |
| qwen2_5_omni = 'qwen2_5_omni' |
| qwen3_vl = 'qwen3_vl' |
| qwen3_omni = 'qwen3_omni' |
| qwen3_asr = 'qwen3_asr' |
|
|
| cogvlm = 'cogvlm' |
| chatglm4v = 'chatglm4v' |
| glm4v = 'glm4v' |
| glm_edge_v = 'glm_edge_v' |
|
|
| llama3_1_omni = 'llama3_1_omni' |
| llama3_2_vision = 'llama3_2_vision' |
| llama4 = 'llama4' |
|
|
| llava_hf = 'llava_hf' |
| llava_hf_legacy = 'llava_hf_legacy' |
| llava_next_video_hf = 'llava_next_video_hf' |
| llava_onevision1_5 = 'llava_onevision1_5' |
|
|
| llava_llama = 'llava_llama' |
| llava_mistral = 'llava_mistral' |
|
|
| xcomposer = 'xcomposer' |
| internvl = 'internvl' |
| interns1 = 'interns1' |
| minicpmv = 'minicpmv' |
| minicpmo = 'minicpmo' |
| deepseek_vl = 'deepseek_vl' |
| deepseek_vl2 = 'deepseek_vl2' |
| deepseek_janus = 'deepseek_janus' |
| deepseek_ocr = 'deepseek_ocr' |
| deepseek_ocr2 = 'deepseek_ocr2' |
| kimi_k25 = 'kimi_k25' |
|
|
| mplug_owl2 = 'mplug_owl2' |
| mplug_owl2_1 = 'mplug_owl2_1' |
| mplug_owl3 = 'mplug_owl3' |
| doc_owl2 = 'doc_owl2' |
|
|
| phi3_vision = 'phi3_vision' |
| phi4_multimodal = 'phi4_multimodal' |
| florence = 'florence' |
| idefics3 = 'idefics3' |
|
|
| got_ocr2 = 'got_ocr2' |
| dots_ocr = 'dots_ocr' |
| ernie_vl = 'ernie_vl' |
|
|
| ovis = 'ovis' |
| ovis2_5 = 'ovis2_5' |
| molmo = 'molmo' |
| emu3_chat = 'emu3_chat' |
| megrez_omni = 'megrez_omni' |
| valley = 'valley' |
| gemma3n = 'gemma3n' |
| keye_vl = 'keye_vl' |
|
|
| midashenglm = 'midashenglm' |
| step_audio2_mini = 'step_audio2_mini' |
| hunyuan_vl = 'hunyuan_vl' |
| step3_vl = 'step3_vl' |
| paddle_ocr_1_5 = 'paddle_ocr_1_5' |
|
|
|
|
| class ModelArch(LLMModelArch, MLLMModelArch): |
| |
| |
| pass |
|
|
|
|
| @dataclass |
| class ModelKeys: |
| """Used to support training of tuners such as llama-pro""" |
| arch_name: str = None |
|
|
| embedding: str = None |
| module_list: str = None |
| lm_head: str = None |
|
|
| q_proj: str = None |
| k_proj: str = None |
| v_proj: str = None |
| o_proj: str = None |
| attention: str = None |
|
|
| mlp: str = None |
| down_proj: str = None |
|
|
| qkv_proj: str = None |
| qk_proj: str = None |
| qa_proj: str = None |
| qb_proj: str = None |
| kv_proj: str = None |
| kva_proj: str = None |
| kvb_proj: str = None |
|
|
|
|
| @dataclass |
| class MultiModelKeys(ModelKeys): |
| """Used to support freeze_vit/freeze_aligner/freeze_llm""" |
| language_model: Union[str, List[str]] = field(default_factory=list) |
| aligner: Union[str, List[str]] = field(default_factory=list) |
| vision_tower: Union[str, List[str]] = field(default_factory=list) |
| generator: Union[str, List[str]] = field(default_factory=list) |
|
|
| def __post_init__(self): |
| for key in ['language_model', 'aligner', 'vision_tower', 'generator']: |
| v = getattr(self, key) |
| if isinstance(v, str): |
| setattr(self, key, [v]) |
| if v is None: |
| setattr(self, key, []) |
|
|
|
|
| MODEL_ARCH_MAPPING = {} |
|
|
|
|
| def register_model_arch(model_arch: ModelKeys, *, exist_ok: bool = False) -> None: |
| """ |
| model_type: The unique ID for the model type. Models with the same model_type share |
| the same architectures, template, get_function, etc. |
| """ |
| arch_name = model_arch.arch_name |
| if not exist_ok and arch_name in MODEL_ARCH_MAPPING: |
| raise ValueError(f'The `{arch_name}` has already been registered in the MODEL_ARCH_MAPPING.') |
|
|
| MODEL_ARCH_MAPPING[arch_name] = model_arch |
|
|
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.llama, |
| module_list='model.layers', |
| mlp='model.layers.{}.mlp', |
| down_proj='model.layers.{}.mlp.down_proj', |
| attention='model.layers.{}.self_attn', |
| o_proj='model.layers.{}.self_attn.o_proj', |
| q_proj='model.layers.{}.self_attn.q_proj', |
| k_proj='model.layers.{}.self_attn.k_proj', |
| v_proj='model.layers.{}.self_attn.v_proj', |
| embedding='model.embed_tokens', |
| lm_head='lm_head', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.internlm2, |
| module_list='model.layers', |
| mlp='model.layers.{}.feed_forward', |
| down_proj='model.layers.{}.feed_forward.w2', |
| attention='model.layers.{}.attention', |
| o_proj='model.layers.{}.attention.wo', |
| qkv_proj='model.layers.{}.attention.wqkv', |
| embedding='model.tok_embeddings', |
| lm_head='output', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.chatglm, |
| module_list='transformer.encoder.layers', |
| mlp='transformer.encoder.layers.{}.mlp', |
| down_proj='transformer.encoder.layers.{}.mlp.dense_4h_to_h', |
| attention='transformer.encoder.layers.{}.self_attention', |
| o_proj='transformer.encoder.layers.{}.self_attention.dense', |
| qkv_proj='transformer.encoder.layers.{}.self_attention.query_key_value', |
| embedding='transformer.embedding', |
| lm_head='transformer.output_layer')) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.telechat, |
| module_list='transformer.h', |
| mlp='transformer.h.{}.mlp', |
| down_proj='transformer.h.{}.mlp.down_proj', |
| attention='transformer.h.{}.self_attention', |
| o_proj='transformer.h.{}.self_attention.dense', |
| q_proj='transformer.h.{}.self_attention.query', |
| kv_proj='transformer.h.{}.self_attention.key_value', |
| embedding='transformer.word_embeddings', |
| lm_head='lm_head')) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.baichuan, |
| module_list='model.layers', |
| mlp='model.layers.{}.mlp', |
| down_proj='model.layers.{}.mlp.down_proj', |
| attention='model.layers.{}.self_attn', |
| qkv_proj='model.layers.{}.self_attn.W_pack', |
| embedding='model.embed_tokens', |
| lm_head='lm_head', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.yuan, |
| module_list='model.layers', |
| mlp='model.layers.{}.mlp', |
| down_proj='model.layers.{}.mlp.down_proj', |
| attention='model.layers.{}.self_attn', |
| qk_proj='model.layers.{}.self_attn.qk_proj', |
| o_proj='model.layers.{}.self_attn.o_proj', |
| q_proj='model.layers.{}.self_attn.q_proj', |
| k_proj='model.layers.{}.self_attn.k_proj', |
| v_proj='model.layers.{}.self_attn.v_proj', |
| embedding='model.embed_tokens', |
| lm_head='lm_head', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.codefuse, |
| module_list='gpt_neox.layers', |
| mlp='gpt_neox.layers.{}.mlp', |
| down_proj='gpt_neox.layers.{}.mlp.dense_4h_to_h', |
| attention='gpt_neox.layers.{}.attention', |
| o_proj='gpt_neox.layers.{}.attention.dense', |
| qkv_proj='gpt_neox.layers.{}.attention.query_key_value', |
| embedding='gpt_neox.embed_in', |
| lm_head='gpt_neox.embed_out', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.phi2, |
| module_list='model.layers', |
| mlp='model.layers.{}.mlp', |
| down_proj='model.layers.{}.mlp.fc2', |
| attention='model.layers.{}.self_attn', |
| o_proj='model.layers.{}.self_attn.dense', |
| q_proj='model.layers.{}.self_attn.q_proj', |
| k_proj='model.layers.{}.self_attn.k_proj', |
| v_proj='model.layers.{}.self_attn.v_proj', |
| embedding='model.embed_tokens', |
| lm_head='lm_head', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.qwen, |
| module_list='transformer.h', |
| mlp='transformer.h.{}.mlp', |
| down_proj='transformer.h.{}.mlp.c_proj', |
| attention='transformer.h.{}.attn', |
| o_proj='transformer.h.{}.attn.c_proj', |
| qkv_proj='transformer.h.{}.attn.c_attn', |
| embedding='transformer.wte', |
| lm_head='lm_head', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.dbrx, |
| module_list='transformer.blocks', |
| mlp='transformer.blocks.{}.ffn', |
| attention='transformer.blocks.{}.norm_attn_norm.attn', |
| o_proj='transformer.blocks.{}.norm_attn_norm.attn.out_proj', |
| qkv_proj='transformer.blocks.{}.norm_attn_norm.attn.Wqkv', |
| embedding='transformer.wte', |
| lm_head='lm_head', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.phi3, |
| module_list='model.layers', |
| mlp='model.layers.{}.mlp', |
| down_proj='model.layers.{}.mlp.down_proj', |
| attention='model.layers.{}.self_attn', |
| o_proj='model.layers.{}.self_attn.o_proj', |
| qkv_proj='model.layers.{}.self_attn.qkv_proj', |
| embedding='model.embed_tokens', |
| lm_head='lm_head', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.phi3_small, |
| module_list='model.layers', |
| mlp='model.layers.{}.mlp', |
| down_proj='model.layers.{}.mlp.down_proj', |
| attention='model.layers.{}.self_attn', |
| o_proj='model.layers.{}.self_attn.dense', |
| qkv_proj='model.layers.{}.self_attn.query_key_value', |
| embedding='model.embed_tokens', |
| lm_head='lm_head', |
| )) |
|
|
| register_model_arch( |
| ModelKeys( |
| LLMModelArch.deepseek_v2, |
| module_list='model.layers', |
| mlp='model.layers.{}.mlp', |
| down_proj='model.layers.{}.mlp.down_proj', |
| attention='model.layers.{}.self_attn', |
| o_proj='model.layers.{}.self_attn.o_proj', |
| qa_proj='model.layers.{}.self_attn.q_a_proj', |
| qb_proj='model.layers.{}.self_attn.q_b_proj', |
| kva_proj='model.layers.{}.self_attn.kv_a_proj_with_mqa', |
| kvb_proj='model.layers.{}.self_attn.kv_b_proj', |
| embedding='model.embed_tokens', |
| lm_head='lm_head', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llava_hf_legacy, |
| language_model='language_model', |
| aligner='multi_modal_projector', |
| vision_tower='vision_tower', |
| )) |
|
|
| if transformers_ge_4_52: |
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llava_hf, |
| language_model=['model.language_model', 'lm_head'], |
| aligner='model.multi_modal_projector', |
| vision_tower='model.vision_tower', |
| )) |
| else: |
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llava_hf, |
| language_model='language_model', |
| aligner='multi_modal_projector', |
| vision_tower='vision_tower', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llava_mistral, |
| language_model='model.layers', |
| aligner='model.mm_projector', |
| vision_tower='model.vision_tower', |
| )) |
|
|
| if transformers_ge_4_52: |
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llava_next_video_hf, |
| language_model=['model.language_model', 'lm_head'], |
| aligner=['model.multi_modal_projector'], |
| vision_tower='model.vision_tower')) |
| else: |
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llava_next_video_hf, |
| language_model='language_model', |
| aligner=['multi_modal_projector'], |
| vision_tower='vision_tower')) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llava_llama, |
| language_model='model.layers', |
| aligner='model.mm_projector', |
| vision_tower='model.vision_tower', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.kimi_k25, |
| language_model='language_model', |
| aligner='mm_projector', |
| vision_tower='vision_tower', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.xcomposer, |
| language_model='model', |
| aligner='vision_proj', |
| vision_tower='vit', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.internvl, |
| language_model='language_model', |
| aligner='mlp1', |
| vision_tower='vision_model', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.interns1, |
| language_model=['model.language_model', 'lm_head'], |
| aligner='model.multi_modal_projector', |
| vision_tower='model.vision_tower', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.mplug_owl3, |
| language_model='language_model', |
| aligner='vision2text_model', |
| vision_tower='vision_model', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.doc_owl2, |
| language_model='model.layers', |
| aligner=['model.vision2text', 'model.hr_compressor'], |
| vision_tower='model.vision_model', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.deepseek_vl, |
| language_model='language_model', |
| aligner='aligner', |
| vision_tower='vision_model', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.deepseek_janus, |
| language_model='language_model', |
| vision_tower='vision_model', |
| aligner='aligner', |
| generator=['gen_vision_model', 'gen_aligner', 'gen_head', 'gen_embed'])) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.deepseek_ocr, |
| language_model='model.layers', |
| vision_tower=['model.sam_model', 'model.vision_model'], |
| aligner='model.projector', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.deepseek_ocr2, |
| language_model='model.layers', |
| vision_tower=['model.sam_model', 'model.qwen2_model'], |
| aligner='model.projector', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.deepseek_vl2, |
| language_model='language', |
| vision_tower='vision', |
| aligner='projector', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.minicpmv, |
| language_model='llm', |
| aligner='resampler', |
| vision_tower='vpm', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.minicpmo, |
| language_model='llm', |
| aligner='resampler', |
| vision_tower=['vpm', 'apm'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.phi3_vision, |
| language_model='model.layers', |
| aligner='model.vision_embed_tokens.img_projection', |
| vision_tower='model.vision_embed_tokens.img_processor', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.phi4_multimodal, |
| language_model='model.layers', |
| aligner=[ |
| 'model.embed_tokens_extend.image_embed.img_projection', |
| 'model.embed_tokens_extend.audio_embed.audio_projection' |
| ], |
| vision_tower=[ |
| 'model.embed_tokens_extend.image_embed.img_processor', 'model.embed_tokens_extend.audio_embed.encoder' |
| ], |
| )) |
|
|
| register_model_arch(MultiModelKeys( |
| MLLMModelArch.cogvlm, |
| language_model='model.layers', |
| vision_tower='model.vision', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.florence, |
| language_model='language_model', |
| vision_tower='vision_tower', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.qwen_vl, |
| language_model='transformer.h', |
| vision_tower='transformer.visual', |
| )) |
| |
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.qwen_audio, |
| language_model='transformer.h', |
| vision_tower='transformer.audio', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.qwen2_audio, |
| language_model='language_model', |
| aligner='multi_modal_projector', |
| vision_tower='audio_tower', |
| )) |
|
|
| if transformers_ge_4_52: |
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.qwen2_vl, |
| language_model=['model.language_model', 'lm_head'], |
| aligner='model.visual.merger', |
| vision_tower='model.visual', |
| )) |
| else: |
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.qwen2_vl, |
| language_model=['model', 'lm_head'], |
| aligner='visual.merger', |
| vision_tower='visual', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.qwen3_vl, |
| language_model=['model.language_model', 'lm_head'], |
| aligner=['model.visual.merger', 'model.visual.deepstack_merger_list'], |
| vision_tower='model.visual', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.qwen2_5_omni, |
| language_model=['thinker.model', 'thinker.lm_head'], |
| vision_tower=['thinker.audio_tower', 'thinker.visual'], |
| aligner=['thinker.audio_tower.proj', 'thinker.visual.merger'], |
| generator=['talker', 'token2wav'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.qwen3_omni, |
| language_model=['thinker.model', 'thinker.lm_head'], |
| vision_tower=['thinker.audio_tower', 'thinker.visual'], |
| aligner=[ |
| 'thinker.audio_tower.proj1', 'thinker.audio_tower.proj2', 'thinker.visual.merger', |
| 'thinker.visual.merger_list' |
| ], |
| generator=['talker', 'code2wav'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.qwen3_asr, |
| language_model=['thinker.model', 'thinker.lm_head'], |
| vision_tower='thinker.audio_tower', |
| aligner=['thinker.audio_tower.proj1', 'thinker.audio_tower.proj2'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.midashenglm, |
| language_model='decoder', |
| aligner=['audio_projector'], |
| vision_tower=['audio_encoder'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.step_audio2_mini, |
| language_model=['model', 'lm_head'], |
| aligner=['adapter'], |
| vision_tower=['encoder'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.chatglm4v, |
| language_model='transformer.encoder', |
| vision_tower='transformer.vision', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.glm4v, |
| language_model=['model.language_model', 'lm_head'], |
| aligner='model.visual.merger', |
| vision_tower='model.visual', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.idefics3, |
| language_model='model.text_model', |
| aligner='model.connector', |
| vision_tower='model.vision_model', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llama3_1_omni, |
| language_model='model.layers', |
| aligner='model.speech_projector', |
| vision_tower='model.speech_encoder', |
| generator='speech_generator', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.got_ocr2, |
| language_model='model.layers', |
| aligner='model.mm_projector_vary', |
| vision_tower='model.vision_tower_high', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.ernie_vl, |
| language_model=['model', 'lm_head'], |
| aligner='model.resampler_model', |
| vision_tower='vision_model', |
| )) |
|
|
| if transformers_ge_4_52: |
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llama3_2_vision, |
| language_model=['model.language_model', 'lm_head'], |
| aligner='model.multi_modal_projector', |
| vision_tower='model.vision_model', |
| )) |
| else: |
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llama3_2_vision, |
| language_model='language_model', |
| aligner='multi_modal_projector', |
| vision_tower='vision_model', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llama4, |
| language_model='language_model', |
| aligner='multi_modal_projector', |
| vision_tower='vision_model', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.ovis, |
| language_model='llm', |
| vision_tower=['visual_tokenizer', 'vte'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.ovis2_5, |
| language_model='llm', |
| aligner='visual_tokenizer.head', |
| vision_tower=['visual_tokenizer.vit', 'vte'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.molmo, |
| language_model='model.transformer', |
| vision_tower='model.vision_backbone', |
| aligner='model.vision_backbone.image_projector')) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.megrez_omni, |
| language_model='llm', |
| vision_tower=['vision', 'audio'], |
| )) |
|
|
| register_model_arch(MultiModelKeys(MLLMModelArch.emu3_chat, language_model='model')) |
|
|
| register_model_arch( |
| MultiModelKeys(MLLMModelArch.glm_edge_v, language_model='model.layers', vision_tower='model.vision')) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.valley, |
| language_model='model', |
| vision_tower=['model.vision_tower', 'model.qwen2vl_vision_tower'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.gemma3n, |
| language_model=['model.language_model', 'lm_head'], |
| aligner=['model.embed_vision', 'model.embed_audio'], |
| vision_tower=['model.vision_tower', 'model.audio_tower'], |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.keye_vl, |
| language_model=['model', 'lm_head'], |
| aligner='mlp_AR', |
| vision_tower='visual', |
| )) |
|
|
| register_model_arch(MultiModelKeys( |
| MLLMModelArch.dots_ocr, |
| language_model='model', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.llava_onevision1_5, |
| language_model=['model.language_model', 'lm_head'], |
| aligner='model.visual.merger', |
| vision_tower='model.visual', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.hunyuan_vl, |
| language_model='model', |
| aligner='vit.perceive', |
| vision_tower='vit', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.step3_vl, |
| language_model=['model.language_model', 'lm_head'], |
| aligner='model.vit_large_projector', |
| vision_tower='model.vision_model', |
| )) |
|
|
| register_model_arch( |
| MultiModelKeys( |
| MLLMModelArch.paddle_ocr_1_5, |
| language_model=['model.language_model', 'lm_head'], |
| aligner='model.projector', |
| vision_tower='model.visual', |
| )) |
|
|
|
|
| def get_model_arch(arch_name: Optional[str]) -> Optional[MultiModelKeys]: |
| return MODEL_ARCH_MAPPING.get(arch_name) |
|
|
