Any To Any Models

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

386 models available

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Showing 1–24 of 386 models

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google/gemma-4-E4B-it

5.7M

1,305

transformers

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Any To Any

google/gemma-4-12B-it

2.5M

1,210

transformers

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Any To Any

google/gemma-4-E2B-it

2.3M

786

transformers

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Any To Any

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

2.0M

950

transformers

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Any To Any

nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4

1.9M

145

transformers

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Any To Any

google/gemma-4-12B-it-qat-w4a16-ct

1.9M

transformers

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Any To Any

Qwen/Qwen2.5-Omni-3B

1.7M

336

transformers

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Any To Any

lmstudio-community/gemma-4-E4B-it-MLX-4bit

1.5M

transformers

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Any To Any

lmstudio-community/gemma-4-E4B-it-MLX-8bit

1.5M

transformers

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Any To Any

lmstudio-community/gemma-4-E4B-it-MLX-5bit

1.5M

transformers

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Any To Any

lmstudio-community/gemma-4-E4B-it-MLX-6bit

1.5M

transformers

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Any To Any

nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

791K

362

transformers

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Any To Any

Qwen/Qwen2.5-Omni-7B

658K

1,913

transformers

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Any To Any

google/gemma-4-31B-it-assistant

555K

309

transformers

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Any To Any

google/gemma-4-12B-it-qat-q4_0-gguf

538K

191

transformers

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Any To Any

google/gemma-4-E4B

532K

336

transformers

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Any To Any

unsloth/gemma-4-12B-it-qat-GGUF

470K

291

transformers

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Any To Any

openbmb/MiniCPM-o-2_6

442K

1,292

transformers

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Any To Any

openbmb/MiniCPM-o-4_5

369K

1,405

transformers

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Any To Any

google/gemma-4-12B

362K

622

transformers

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Any To Any

google/gemma-4-E4B-it-assistant

353K

113

transformers

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Any To Any

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

334K

308

transformers

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Any To Any

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

318K

transformers

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

318K

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.