Any To Any Models

Browse AI models for multimodal decomposition and recomposition pipelines: plug any model into your extractors.

426 models available

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Showing 49-72 of 426 models

Any To Any

unsloth/gemma-4-E2B-it-qat-mobile-GGUF

48K

transformers

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Any To Any

cyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-8bit

42K

transformers

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Any To Any

google/gemma-4-E2B-it-qat-q4_0-unquantized

40K

transformers

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Any To Any

deepseek-community/Janus-Pro-1B

37K

transformers

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Any To Any

ggml-org/gemma-4-E4B-it-GGUF

36K

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Any To Any

google/gemma-4-E4B-it-qat-mobile-ct

34K

transformers

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Any To Any

lmstudio-community/gemma-4-12B-it-MLX-8bit

32K

transformers

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Any To Any

marksverdhei/Qwen3-Omni-30B-A3B-FP8

30K

transformers

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Any To Any

sensenova/SenseNova-U1-8B-MoT

30K

288

transformers

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Any To Any

openbmb/MiniCPM-o-4_5-gguf

28K

146

transformers

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Any To Any

unsloth/gemma-4-E4B-it-qat-mobile-GGUF

26K

transformers

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Any To Any

cyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-4bit

26K

transformers

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Any To Any

ggml-org/gemma-4-E2B-it-GGUF

25K

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Any To Any

cyankiwi/gemma-4-12B-it-qat-AWQ-INT4

25K

transformers

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Any To Any

huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated-GGUF

22K

transformers

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Any To Any

stepfun-ai/Step-Audio-2-mini

22K

263

transformers

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Any To Any

prithivMLmods/gemma-4-E4B-it-NVFP4

22K

transformers

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openbmb/MiniCPM-o-4_5-awq

21K

transformers

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Any To Any

google/gemma-4-E2B-it-qat-mobile-transformers

20K

136

transformers

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Any To Any

huihui-ai/Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-GGUF

19K

transformers

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Qwen/Qwen3-Omni-30B-A3B-Captioner

19K

234

transformers

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huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-GGUF

17K

transformers

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google/gemma-4-E4B-it-qat-mobile-transformers

17K

transformers

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huihui-ai/Huihui-gemma-4-12B-it-abliterated

16K

201

transformers

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Jun 22, 2026200+ model pages and new retrieval deep-divesExpanded the model catalog with enriched pages (architecture, benchmarks, Mixpeek SDK examples, and pipeline pairings) across embedding, vision-language, video, audio, OCR, and reranking models: plus new vendor-neutral guides on Matryoshka embeddings, reasoning rerankers, and retrieval feedback loops.