Xue ZhenliangandSigbjørn Skjæret
62318cd57d
* model : add Kolibri-1 (Aleph-Alpha) support Kolibri-1 is a bilingual German/English MoE reasoning model with 78B parameters and 3.46B active per token: 50 layers, 384 routed experts plus one shared expert. Attention interleaves four sliding layers at a 513 window with one full layer. The sliding layers rotate with NeoX RoPE, the full layers are NoPE. GQA runs 48 query heads against 4 KV heads at head_dim 128 with a QK-RMSNorm, and every block carries four RMSNorms, so the attention and the MLP output are normalized before they rejoin the residual stream. Routing picks the experts from logits + expert_bias and weights them with the sigmoid of the unbiased logits, without renorm. The converter reuses AfmoeModel for the per-expert checkpoint layout and the expert selection bias, and writes the shared expert and the per layer sliding window pattern. The released FP8 checkpoint needs no special code, it goes through the generic weight_scale_inv path. Three tensor names are added to the mapping (post_attn_norm, post_ffn_norm, moe.router.expert_bias) and the 128k vocabulary registers the qwen2 pre-tokenizer by hash. The arch is registered in test-llama-archs, with GQA and the sliding window pattern. Assisted-by: DeepSeek Harness (DeepSeek V4.1 Flash) * Update src/models/kolibri1.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co> * Add fusion records for kolibri1 * Update src/models/kolibri1.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co> --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
442 lines
17 KiB
Python
442 lines
17 KiB
Python
from __future__ import annotations
|
|
|
|
from .base import (
|
|
ModelBase, TextModel, MmprojModel, ModelType, SentencePieceTokenTypes,
|
|
logger, _mistral_common_installed, _mistral_import_error_msg,
|
|
get_model_architecture, LazyTorchTensor,
|
|
)
|
|
from typing import Type
|
|
|
|
|
|
__all__ = [
|
|
"ModelBase", "TextModel", "MmprojModel", "ModelType", "SentencePieceTokenTypes",
|
|
"get_model_architecture", "LazyTorchTensor", "logger",
|
|
"_mistral_common_installed", "_mistral_import_error_msg",
|
|
"get_model_class", "print_registered_models", "load_all_models",
|
|
]
|
|
|
|
|
|
TEXT_MODEL_MAP: dict[str, str] = {
|
|
"AfmoeForCausalLM": "afmoe",
|
|
"LagunaForCausalLM": "laguna",
|
|
"ApertusForCausalLM": "llama",
|
|
"ArceeForCausalLM": "llama",
|
|
"ArcticForCausalLM": "arctic",
|
|
"AudioFlamingo3ForConditionalGeneration": "qwen",
|
|
"BaiChuanForCausalLM": "baichuan",
|
|
"BeamForCausalLM": "beam",
|
|
"BaichuanForCausalLM": "baichuan",
|
|
"BailingMoeForCausalLM": "bailingmoe",
|
|
"BailingMoeV2ForCausalLM": "bailingmoe",
|
|
"BailingMoeV3ForCausalLM": "bailingmoe3",
|
|
"BailingMoeV3VLForConditionalGeneration": "bailingmoe3",
|
|
"BambaForCausalLM": "granite",
|
|
"BertForMaskedLM": "bert",
|
|
"BertForSequenceClassification": "bert",
|
|
"BertModel": "bert",
|
|
"BitnetForCausalLM": "bitnet",
|
|
"BitNetForCausalLM": "bitnet",
|
|
"BloomForCausalLM": "bloom",
|
|
"BloomModel": "bloom",
|
|
"CamembertModel": "bert",
|
|
"ChameleonForCausalLM": "chameleon",
|
|
"ChameleonForConditionalGeneration": "chameleon",
|
|
"ChatGLMForConditionalGeneration": "chatglm",
|
|
"ChatGLMModel": "chatglm",
|
|
"ClefModel": "clef",
|
|
"CodeShellForCausalLM": "codeshell",
|
|
"CogVLMForCausalLM": "cogvlm",
|
|
"Cohere2MoeForCausalLM": "command_r",
|
|
"Cohere2ForCausalLM": "command_r",
|
|
"CohereForCausalLM": "command_r",
|
|
"DbrxForCausalLM": "dbrx",
|
|
"DeciLMForCausalLM": "deci",
|
|
"PplxDeciderModel": "pplx_decider",
|
|
"VllmD3Model": "vllm_d3",
|
|
"DeepseekForCausalLM": "deepseek",
|
|
"DeepseekOCRForCausalLM": "deepseek",
|
|
"DeepseekV2ForCausalLM": "deepseek",
|
|
"DeepseekV3ForCausalLM": "deepseek",
|
|
"DeepseekV32ForCausalLM": "deepseek",
|
|
"DFlashDraftModel": "qwen",
|
|
"DFlash2DraftModel": "qwen",
|
|
"LiLiCorrDraftModel": "nemotron",
|
|
"Qwen3DSparkModel": "qwen",
|
|
"DSparkDraftModel": "qwen",
|
|
"DSparkSpeculator": "qwen",
|
|
"Lfm2DSparkDraftModel": "qwen",
|
|
"LingDSparkModel": "qwen",
|
|
"DeepseekV4ForCausalLM": "deepseek",
|
|
"DeepseekV4DSparkModel": "deepseek",
|
|
"DistilBertForMaskedLM": "bert",
|
|
"DistilBertForSequenceClassification": "bert",
|
|
"DistilBertModel": "bert",
|
|
"Dots1ForCausalLM": "dots1",
|
|
"Dots3NoteForCausalLM": "dots3",
|
|
"Dots3NoteForConditionalGeneration": "dots3",
|
|
"Dots3NoteTextForCausalLM": "dots3",
|
|
"DotsOCRForCausalLM": "qwen",
|
|
"DreamModel": "dream",
|
|
"EmbeddingGemma2Model": "gemma",
|
|
"Ernie4_5ForCausalLM": "ernie",
|
|
"Ernie4_5_ForCausalLM": "ernie",
|
|
"Ernie4_5_MoeForCausalLM": "ernie",
|
|
"EuroBertModel": "bert",
|
|
"Exaone4_5_ForConditionalGeneration": "exaone",
|
|
"Exaone4ForCausalLM": "exaone",
|
|
"ExaoneForCausalLM": "exaone",
|
|
"ExaoneMoEForCausalLM": "exaone",
|
|
"ExaoneMoeForCausalLM": "exaone",
|
|
"FalconForCausalLM": "falcon",
|
|
"FalconH1ForCausalLM": "falcon_h1",
|
|
"FalconMambaForCausalLM": "mamba",
|
|
"GPT2LMHeadModel": "gpt2",
|
|
"GPTBigCodeForCausalLM": "starcoder",
|
|
"GPTNeoXForCausalLM": "gptneox",
|
|
"GPTRefactForCausalLM": "refact",
|
|
"Gemma2ForCausalLM": "gemma",
|
|
"Gemma3ForCausalLM": "gemma",
|
|
"Gemma3ForConditionalGeneration": "gemma",
|
|
"Gemma3TextModel": "gemma",
|
|
"Gemma3nForCausalLM": "gemma",
|
|
"Gemma3nForConditionalGeneration": "gemma",
|
|
"Gemma4AssistantForCausalLM": "gemma",
|
|
"Gemma4DSparkModel": "gemma",
|
|
"Gemma4ForConditionalGeneration": "gemma",
|
|
"Gemma4ForCausalLM": "gemma",
|
|
"Gemma4UnifiedForConditionalGeneration": "gemma",
|
|
"Gemma4UnifiedAssistantForCausalLM": "gemma",
|
|
"GemmaForCausalLM": "gemma",
|
|
"Glm4ForCausalLM": "glm",
|
|
"Glm4MoeForCausalLM": "glm",
|
|
"Glm4MoeLiteForCausalLM": "glm",
|
|
"Glm4vForConditionalGeneration": "glm",
|
|
"Glm4vMoeForConditionalGeneration": "glm",
|
|
"Glm5NextForConditionalGeneration": "glm",
|
|
"GlmForCausalLM": "chatglm",
|
|
"GlmMoeDsaForCausalLM": "glm",
|
|
"GlmOcrForConditionalGeneration": "glm",
|
|
"GptOssForCausalLM": "gpt_oss",
|
|
"GraniteForCausalLM": "granite",
|
|
"GraniteMoeForCausalLM": "granite",
|
|
"GraniteMoeHybridForCausalLM": "granite",
|
|
"GraniteMoeSharedForCausalLM": "granite",
|
|
"GraniteSwitchForCausalLM": "granite",
|
|
"GraniteSpeechForConditionalGeneration": "granite",
|
|
"GraniteSpeechPlusForConditionalGeneration": "granite",
|
|
"GraniteSWAForCausalLM": "granite",
|
|
"GraniteMoeSWAForCausalLM": "granite",
|
|
"Grok1ForCausalLM": "grok",
|
|
"GrokForCausalLM": "grok",
|
|
"GroveMoeForCausalLM": "grovemoe",
|
|
"HunYuanDenseV1ForCausalLM": "hunyuan",
|
|
"HunYuanMoEV1ForCausalLM": "hunyuan",
|
|
"HunYuanVLForConditionalGeneration": "hunyuan",
|
|
"HrmTextForCausalLM": "hrm_text",
|
|
"HYV3ForCausalLM": "hunyuan",
|
|
"HYV4ForCausalLM": "hy_v4",
|
|
"IQuestCoderForCausalLM": "llama",
|
|
"InternLM2ForCausalLM": "internlm",
|
|
"InternLM3ForCausalLM": "internlm",
|
|
"JAISLMHeadModel": "jais",
|
|
"Jais2ForCausalLM": "jais",
|
|
"JambaForCausalLM": "jamba",
|
|
"JanusForConditionalGeneration": "januspro",
|
|
"JinaBertForMaskedLM": "bert",
|
|
"JinaBertModel": "bert",
|
|
"JinaEmbeddingsV5Model": "bert",
|
|
"K2HorizonForCausalLM": "k2_horizon",
|
|
"Kolibri1ForCausalLM": "kolibri1",
|
|
"KORMoForCausalLM": "qwen",
|
|
"KimiK25ForConditionalGeneration": "deepseek",
|
|
"KimiK3ForConditionalGeneration": "kimi_k3",
|
|
"KimiLinearForCausalLM": "kimi_linear",
|
|
"KimiLinearModel": "kimi_linear",
|
|
"KimiVLForConditionalGeneration": "deepseek",
|
|
"LFM2ForCausalLM": "lfm2",
|
|
"LLaDAMoEModel": "llada",
|
|
"LLaDAMoEModelLM": "llada",
|
|
"LLaDAModelLM": "llada",
|
|
"LLaMAForCausalLM": "llama",
|
|
"KevModel": "lev",
|
|
"LevModel": "lev",
|
|
"NimbleModel": "lev",
|
|
"Lfm25AudioTokenizer": "lfm2",
|
|
"Lfm2BidirectionalForMaskedLM": "lfm2",
|
|
"Lfm2BidirectionalModel": "lfm2",
|
|
"Lfm2ForCausalLM": "lfm2",
|
|
"D1Model": "lfm2",
|
|
"D1OmniModel": "lfm2",
|
|
"Lfm2Model": "lfm2",
|
|
"Lfm2MoeForCausalLM": "lfm2",
|
|
"Llama4ForCausalLM": "llama",
|
|
"Llama4ForConditionalGeneration": "llama",
|
|
"LlamaBidirectionalModel": "llama",
|
|
"LlamaForCausalLM": "llama",
|
|
"LlamaModel": "llama",
|
|
"Eagle3DraftModel": "llama",
|
|
"Eagle3Speculator": "llama",
|
|
"Eagle3LlamaForCausalLM": "llama",
|
|
"LlamaForCausalLMEagle3": "llama",
|
|
"LlavaForConditionalGeneration": "llama",
|
|
"LlavaStableLMEpochForCausalLM": "stablelm",
|
|
"MPTForCausalLM": "mpt",
|
|
"MT5ForConditionalGeneration": "t5",
|
|
"MaincoderForCausalLM": "maincoder",
|
|
"Mamba2ForCausalLM": "mamba",
|
|
"MambaForCausalLM": "mamba",
|
|
"MambaLMHeadModel": "mamba",
|
|
"MapleForCausalLM": "maple",
|
|
"MellumForCausalLM": "mellum",
|
|
"MiMoV2FlashForCausalLM": "mimo",
|
|
"MiMoV2ForCausalLM": "mimo",
|
|
"MiniCPM3ForCausalLM": "minicpm",
|
|
"MiniCPMForCausalLM": "minicpm",
|
|
"MiniCPMV4_6ForConditionalGeneration": "minicpm",
|
|
"MiniCPMV4_7ForConditionalGeneration": "minicpm",
|
|
"MiniMaxText01ForCausalLM": "minimax",
|
|
"MiniMaxM1ForCausalLM": "minimax",
|
|
"MiniMaxM2ForCausalLM": "minimax",
|
|
"MiniMaxM3SparseForCausalLM": "minimax",
|
|
"MiniMaxM3SparseForConditionalGeneration": "minimax",
|
|
"Ministral3ForCausalLM": "mistral3",
|
|
"Mistral3ForConditionalGeneration": "mistral3",
|
|
"VoxtralRealtimeForConditionalGeneration": "mistral3",
|
|
"MistralForCausalLM": "llama",
|
|
"MixtralForCausalLM": "llama",
|
|
"ModernBertDecisionModel": "bert",
|
|
"ModernBertForMaskedLM": "bert",
|
|
"ModernBertForSequenceClassification": "bert",
|
|
"ModernBertModel": "bert",
|
|
"NanbeigeForCausalLM": "nanbeige",
|
|
"NemotronForCausalLM": "nemotron",
|
|
"NemotronHForCausalLM": "nemotron",
|
|
"NemotronHPuzzleForCausalLM": "nemotron",
|
|
"NeoBERT": "bert",
|
|
"NeoBERTForSequenceClassification": "bert",
|
|
"NeoBERTLMHead": "bert",
|
|
"NomicBertModel": "bert",
|
|
"OLMoForCausalLM": "olmo",
|
|
"Olmo2ForCausalLM": "olmo",
|
|
"Olmo3ForCausalLM": "olmo",
|
|
"OlmoForCausalLM": "olmo",
|
|
"OlmoeForCausalLM": "olmo",
|
|
"MuseGlimmerAssistantModel": "muse_glimmer",
|
|
"MuseGlimmerForConditionalGeneration": "muse_glimmer",
|
|
"MuseSparkForConditionalGeneration": "muse_spark",
|
|
"OpenELMForCausalLM": "openelm",
|
|
"OpenJevModel": "qwen",
|
|
"OrionForCausalLM": "orion",
|
|
"PLMForCausalLM": "plm",
|
|
"PLaMo2ForCausalLM": "plamo",
|
|
"PLaMo3ForCausalLM": "plamo",
|
|
"PaddleOCRVLForConditionalGeneration": "ernie",
|
|
"PanguEmbeddedForCausalLM": "pangu",
|
|
"Phi3ForCausalLM": "phi",
|
|
"Phi4ForCausalLMV": "phi",
|
|
"PhiForCausalLM": "phi",
|
|
"PhiMoEForCausalLM": "phi",
|
|
"Plamo2ForCausalLM": "plamo",
|
|
"Plamo3ForCausalLM": "plamo",
|
|
"PlamoForCausalLM": "plamo",
|
|
"QWenLMHeadModel": "qwen",
|
|
"Qwen2AudioForConditionalGeneration": "qwen",
|
|
"Qwen2ForCausalLM": "qwen",
|
|
"Qwen2Model": "qwen",
|
|
"Qwen2MoeForCausalLM": "qwen",
|
|
"Qwen2VLForConditionalGeneration": "qwenvl",
|
|
"Qwen2VLModel": "qwenvl",
|
|
"Qwen2_5OmniModel": "qwenvl",
|
|
"Qwen2_5_VLForConditionalGeneration": "qwenvl",
|
|
"Qwen3ASRForConditionalGeneration": "qwen3vl",
|
|
"Qwen3ForCausalLM": "qwen",
|
|
"Qwen3Model": "qwen",
|
|
"Qwen3MoeForCausalLM": "qwen",
|
|
"Qwen3NextForCausalLM": "qwen",
|
|
"Qwen3OmniMoeForConditionalGeneration": "qwen3vl",
|
|
"PocketTTSModel": "pockettts",
|
|
"Qwen3TTSForConditionalGeneration": "qwen3tts",
|
|
"Qwen3VLForConditionalGeneration": "qwen3vl",
|
|
"Qwen3VLMoeForConditionalGeneration": "qwen3vl",
|
|
"Qwen3_5ForCausalLM": "qwen",
|
|
"Qwen3_5ForConditionalGeneration": "qwen",
|
|
"Qwen3_5MoeForCausalLM": "qwen",
|
|
"Qwen3_5MoeForConditionalGeneration": "qwen",
|
|
"Qwen3_5TextModel": "qwen",
|
|
"Qwen4ExpForCausalLM": "qwen4exp",
|
|
"Qwen4ExpForConditionalGeneration": "qwen4exp",
|
|
"RND1": "qwen",
|
|
"RWForCausalLM": "falcon",
|
|
"RWKV6Qwen2ForCausalLM": "rwkv",
|
|
"RWKV7ForCausalLM": "rwkv",
|
|
"RobertaForSequenceClassification": "bert",
|
|
"RobertaModel": "bert",
|
|
"RuGPT3XLForCausalLM": "gpt2",
|
|
"Rwkv6ForCausalLM": "rwkv",
|
|
"Rwkv7ForCausalLM": "rwkv",
|
|
"RwkvHybridForCausalLM": "rwkv",
|
|
"Sarashina2VisionForCausalLM": "sarashina2",
|
|
"SarvamMoEForCausalLM": "bailingmoe",
|
|
"SeedOssForCausalLM": "olmo",
|
|
"SmallThinkerForCausalLM": "smallthinker",
|
|
"SmolLM3ForCausalLM": "llama",
|
|
"Spark2_5ForCausalLM": "spark2_5",
|
|
"SolarOpenForCausalLM": "glm",
|
|
"StableLMEpochForCausalLM": "stablelm",
|
|
"StableLmForCausalLM": "stablelm",
|
|
"Starcoder2ForCausalLM": "starcoder",
|
|
"Step3p5ForCausalLM": "step3",
|
|
"StepVLForConditionalGeneration": "step3",
|
|
"Step3p7ForConditionalGeneration": "step3",
|
|
"T5EncoderModel": "t5",
|
|
"T5ForConditionalGeneration": "t5",
|
|
"T5WithLMHeadModel": "t5",
|
|
"TalkieForCausalLM": "talkie",
|
|
"UMT5ForConditionalGeneration": "t5",
|
|
"UMT5Model": "t5",
|
|
"UltravoxModel": "ultravox",
|
|
"UnlimitedOCRForCausalLM": "deepseek",
|
|
"VLlama3ForCausalLM": "llama",
|
|
"VllmDecision2Model": "vllm_decision2",
|
|
"VoxtralForConditionalGeneration": "llama",
|
|
"WavTokenizerDec": "wavtokenizer",
|
|
"XLMRobertaForSequenceClassification": "bert",
|
|
"XLMRobertaModel": "bert",
|
|
"XverseForCausalLM": "xverse",
|
|
"YoutuForCausalLM": "deepseek",
|
|
"YoutuVLForConditionalGeneration": "deepseek",
|
|
"modeling_grove_moe.GroveMoeForCausalLM": "grovemoe",
|
|
"modeling_sarvam_moe.SarvamMoEForCausalLM": "bailingmoe",
|
|
}
|
|
|
|
|
|
MMPROJ_MODEL_MAP: dict[str, str] = {
|
|
"AudioFlamingo3ForConditionalGeneration": "ultravox",
|
|
"ClefModel": "clef",
|
|
"CogVLMForCausalLM": "cogvlm",
|
|
"Cohere2VisionForConditionalGeneration": "command_r",
|
|
"PplxDeciderModel": "pplx_decider",
|
|
"VllmD3Model": "vllm_d3",
|
|
"DeepseekOCR2ForCausalLM": "deepseek",
|
|
"DeepseekOCRForCausalLM": "deepseek",
|
|
"DeepseekV4ForCausalLM": "deepseek",
|
|
"Dots3NoteForCausalLM": "dots3",
|
|
"Dots3NoteForConditionalGeneration": "dots3",
|
|
"DotsOCRForCausalLM": "dotsocr",
|
|
"EmbeddingGemma2Model": "gemma",
|
|
"Exaone4_5_ForConditionalGeneration": "exaone",
|
|
"Gemma3ForConditionalGeneration": "gemma",
|
|
"Gemma3nForConditionalGeneration": "gemma",
|
|
"Gemma4ForConditionalGeneration": "gemma",
|
|
"Gemma4UnifiedForConditionalGeneration": "gemma",
|
|
"Glm4vForConditionalGeneration": "qwen3vl",
|
|
"BailingMoeV3VLForConditionalGeneration": "bailingmoe3",
|
|
"Glm4vMoeForConditionalGeneration": "qwen3vl",
|
|
"Glm5NextForConditionalGeneration": "qwen3vl",
|
|
"Glm5vForConditionalGeneration": "kimivl",
|
|
"GlmOcrForConditionalGeneration": "qwen3vl",
|
|
"GlmasrModel": "ultravox",
|
|
"Granite4VisionForConditionalGeneration": "granite",
|
|
"GraniteSpeechForConditionalGeneration": "granite",
|
|
"GraniteSpeechPlusForConditionalGeneration": "granite",
|
|
"HunYuanVLForConditionalGeneration": "hunyuan",
|
|
"Idefics3ForConditionalGeneration": "smolvlm",
|
|
"InternVisionModel": "internvl",
|
|
"JanusForConditionalGeneration": "januspro",
|
|
"KimiK25ForConditionalGeneration": "kimivl",
|
|
"KimiVLForConditionalGeneration": "kimivl",
|
|
"Lfm2AudioForConditionalGeneration": "lfm2",
|
|
"D1OmniModel": "lfm2",
|
|
"Lfm2VlForConditionalGeneration": "lfm2",
|
|
"LightOnOCRForConditionalGeneration": "lighton_ocr",
|
|
"Llama4ForConditionalGeneration": "llama4",
|
|
"LlavaForConditionalGeneration": "llava",
|
|
"MERaLiON2ForConditionalGeneration": "ultravox",
|
|
"MiMoV2ForCausalLM": "mimo",
|
|
"MiniMaxM3SparseForConditionalGeneration": "minimax",
|
|
"MiniCPMV4_6ForConditionalGeneration": "minicpm",
|
|
"MiniCPMV4_7ForConditionalGeneration": "minicpm",
|
|
"Mistral3ForConditionalGeneration": "llava",
|
|
"NemotronH_Omni_Reasoning_V3": "nemotron",
|
|
"NemotronH_Nano_VL_V2": "nemotron",
|
|
"MuseGlimmerForConditionalGeneration": "muse_glimmer",
|
|
"MuseSparkForConditionalGeneration": "muse_spark",
|
|
"PaddleOCRVisionModel": "ernie",
|
|
"Phi4ForCausalLMV": "phi",
|
|
"Qwen2AudioForConditionalGeneration": "ultravox",
|
|
"Qwen2VLForConditionalGeneration": "qwenvl",
|
|
"Qwen2VLModel": "qwenvl",
|
|
"Qwen2_5OmniModel": "qwenvl",
|
|
"Qwen2_5_VLForConditionalGeneration": "qwenvl",
|
|
"Qwen3ASRForConditionalGeneration": "qwen3vl",
|
|
"Qwen3OmniMoeForConditionalGeneration": "qwen3vl",
|
|
"PocketTTSModel": "pockettts",
|
|
"Qwen3TTSForConditionalGeneration": "qwen3tts",
|
|
"Qwen3VLForConditionalGeneration": "qwen3vl",
|
|
"Qwen3VLMoeForConditionalGeneration": "qwen3vl",
|
|
"OpenJevModel": "qwen3vl",
|
|
"Qwen3_5ForConditionalGeneration": "qwen3vl",
|
|
"Qwen3_5MoeForConditionalGeneration": "qwen3vl",
|
|
"Qwen4ExpForConditionalGeneration": "qwen4exp",
|
|
"RADIOModel": "nemotron",
|
|
"Sarashina2VisionForCausalLM": "sarashina2",
|
|
"SmolVLMForConditionalGeneration": "smolvlm",
|
|
"StepVLForConditionalGeneration": "step3",
|
|
"Step3p7ForConditionalGeneration": "step3",
|
|
"UltravoxModel": "ultravox",
|
|
"UnlimitedOCRForCausalLM": "deepseek",
|
|
"VoxtralForConditionalGeneration": "ultravox",
|
|
"VoxtralRealtimeForConditionalGeneration": "ultravox",
|
|
"YoutuVLForConditionalGeneration": "youtuvl",
|
|
}
|
|
|
|
|
|
_TEXT_MODEL_MODULES = sorted(set(TEXT_MODEL_MAP.values()))
|
|
_MMPROJ_MODEL_MODULES = sorted(set(MMPROJ_MODEL_MAP.values()))
|
|
|
|
|
|
_loaded_text_modules: set[str] = set()
|
|
_loaded_mmproj_modules: set[str] = set()
|
|
|
|
|
|
def load_all_models() -> None:
|
|
"""Import all model modules to trigger @ModelBase.register() decorators."""
|
|
if len(_loaded_text_modules) != len(_TEXT_MODEL_MODULES):
|
|
for module_name in _TEXT_MODEL_MODULES:
|
|
if module_name not in _loaded_text_modules:
|
|
try:
|
|
__import__(f"conversion.{module_name}")
|
|
_loaded_text_modules.add(module_name)
|
|
except Exception as e:
|
|
logger.warning(f"Failed to load model module {module_name}: {e}")
|
|
|
|
if len(_loaded_mmproj_modules) != len(_MMPROJ_MODEL_MODULES):
|
|
for module_name in _MMPROJ_MODEL_MODULES:
|
|
if module_name not in _loaded_mmproj_modules:
|
|
try:
|
|
__import__(f"conversion.{module_name}")
|
|
_loaded_mmproj_modules.add(module_name)
|
|
except Exception as e:
|
|
logger.warning(f"Failed to load model module {module_name}: {e}")
|
|
|
|
|
|
def get_model_class(name: str, mmproj: bool = False) -> Type[ModelBase]:
|
|
"""Dynamically import and return a model class by its HuggingFace architecture name."""
|
|
relevant_map = MMPROJ_MODEL_MAP if mmproj else TEXT_MODEL_MAP
|
|
if name not in relevant_map:
|
|
raise NotImplementedError(f"Architecture {name!r} not supported!")
|
|
module_name = relevant_map[name]
|
|
__import__(f"conversion.{module_name}")
|
|
model_type = ModelType.MMPROJ if mmproj else ModelType.TEXT
|
|
return ModelBase._model_classes[model_type][name]
|
|
|
|
|
|
def print_registered_models() -> None:
|
|
load_all_models()
|
|
logger.error("TEXT models:")
|
|
for name in sorted(TEXT_MODEL_MAP.keys()):
|
|
logger.error(f" - {name}")
|
|
logger.error("MMPROJ models:")
|
|
for name in sorted(MMPROJ_MODEL_MAP.keys()):
|
|
logger.error(f" - {name}")
|