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 25-48 of 426 models

Any To Any

google/gemma-4-26B-A4B-it-assistant

247K

174

transformers

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Any To Any

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

241K

367

transformers

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Any To Any

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

236K

244

transformers

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Any To Any

cyankiwi/gemma-4-E4B-it-AWQ-INT4

213K

transformers

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Any To Any

google/gemma-4-E4B

201K

372

transformers

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lmstudio-community/gemma-4-E2B-it-MLX-4bit

198K

transformers

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lmstudio-community/gemma-4-E2B-it-MLX-8bit

189K

transformers

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lmstudio-community/gemma-4-E2B-it-MLX-6bit

188K

transformers

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Any To Any

lmstudio-community/gemma-4-E2B-it-MLX-5bit

188K

transformers

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Any To Any

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

163K

transformers

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Any To Any

google/gemma-4-E4B-it-qat-q4_0-gguf

139K

102

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Any To Any

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

137K

transformers

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Any To Any

google/gemma-4-12B-it-assistant

125K

102

transformers

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Any To Any

pekkAi/Gemma-4-12B-it-abliterated-NVFP4

118K

transformers

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Any To Any

Qwen/Qwen2.5-Omni-7B-AWQ

115K

transformers

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Any To Any

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

102K

transformers

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Any To Any

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

101K

transformers

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Any To Any

google/gemma-4-E2B

90K

407

transformers

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Any To Any

google/gemma-4-E2B-it-assistant

67K

transformers

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Any To Any

google/gemma-4-E4B-it-assistant

59K

118

transformers

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

58K

transformers

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Any To Any

llmfan46/gemma-4-E4B-it-ultra-uncensored-heretic-GGUF

57K

154

transformers

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Any To Any

llmfan46/gemma-4-12B-it-uncensored-heretic-NVFP4

55K

transformers

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ggml-org/gemma-4-12B-it-GGUF

50K

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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.