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 1-24 of 426 models

Any To Any

google/gemma-4-E4B-it

5.7M

1,412

transformers

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Any To Any

google/gemma-4-E2B-it

3.8M

840

transformers

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Any To Any

google/gemma-4-12B-it

3.0M

1,351

transformers

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Any To Any

Qwen/Qwen2.5-Omni-3B

1.7M

344

transformers

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Any To Any

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

1.6M

transformers

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Any To Any

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

1.6M

315

transformers

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Any To Any

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

1.5M

164

transformers

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Any To Any

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

1.5M

965

transformers

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Any To Any

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

1.3M

transformers

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Any To Any

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

1.3M

transformers

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Any To Any

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

1.3M

transformers

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Any To Any

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

1.3M

transformers

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Any To Any

nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-FP8

836K

transformers

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Any To Any

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

689K

396

transformers

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Any To Any

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

676K

transformers

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Any To Any

openbmb/MiniCPM-o-4_5

567K

1,440

transformers

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Any To Any

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

536K

transformers

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Any To Any

google/gemma-4-E2B-it-qat-w4a16-ct

508K

transformers

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Any To Any

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

440K

313

transformers

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Any To Any

Qwen/Qwen2.5-Omni-7B

414K

1,921

transformers

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Any To Any

google/gemma-4-E4B-it-qat-w4a16-ct

401K

transformers

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Any To Any

openbmb/MiniCPM-o-2_6

365K

1,296

transformers

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Any To Any

google/gemma-4-12B

280K

676

transformers

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Any To Any

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

263K

142

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.