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liked a Space 2 months ago

Running

14

PII Detection

🕵

14

Multilingual PII detection with LFM2.5, server-side CPU

liked a model 3 months ago

VAGOsolutions/SauerkrautLM-LFM2.5-GLiNER

Token Classification • Updated Jun 9 • 44 • 23

liked 7 models 9 months ago

VAGOsolutions/SauerkrautLM-ColMinistral3-3b-v0.1

Image-Text-to-Text • 4B • Updated Aug 27 • 74 • 3

VAGOsolutions/SauerkrautLM-ColQwen3-4b-v0.1

Image-Text-to-Text • 4B • Updated Aug 27 • 184 • 3

VAGOsolutions/SauerkrautLM-ColQwen3-2b-v0.1

Image-Text-to-Text • 2B • Updated Aug 27 • 55.9k • 4

VAGOsolutions/SauerkrautLM-ColQwen3-1.7b-Turbo-v0.1

Image-Text-to-Text • 2B • Updated Aug 27 • 78 • 3

VAGOsolutions/SauerkrautLM-ColLFM2-450M-v0.1

Image-Text-to-Text • 0.5B • Updated Aug 27 • 101 • 11

VAGOsolutions/SauerkrautLM-ColQwen3-8b-v0.1

Image-Text-to-Text • 8B • Updated Aug 27 • 68 • 4

VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct

Text Generation • 8B • Updated Apr 29, 2024 • 9.72k • • 57

liked a Space 9 months ago

Paused

Agents

3

SauerkrautLM-ColPali

📄

3

Search and analyze documents with visual similarity maps

liked a Space about 1 year ago

Running

MCP

1

MCP Agent

🦀

1

Features / tools : Sentiment anaylses

liked 7 models about 1 year ago

google/vaultgemma-1b

Text Generation • 1B • Updated Sep 12, 2025 • 11.5k • 411

VAGOsolutions/SauerkrautLM-Multi-ModernColBERT

Sentence Similarity • 0.1B • Updated Aug 19 • 159 • 12

VAGOsolutions/SauerkrautLM-Multi-ColBERT-33m

Sentence Similarity • 32.8M • Updated Aug 3, 2025 • 46 • 6

VAGOsolutions/SauerkrautLM-Multi-ColBERT-15m

Sentence Similarity • 15.3M • Updated Aug 3, 2025 • 26 • 6

VAGOsolutions/SauerkrautLM-Reason-Multi-ColBERT-15m

Sentence Similarity • 15.3M • Updated Aug 3, 2025 • 24 • 6

VAGOsolutions/SauerkrautLM-Reason-EuroColBERT

Sentence Similarity • 0.2B • Updated Aug 19 • 2.39k • 12

VAGOsolutions/SauerkrautLM-Multi-Reason-ModernColBERT

Sentence Similarity • 0.1B • Updated Aug 19 • 345 • 15

liked a Space over 1 year ago

Sleeping

Agents

1

First Agent Template

⚡

1

Get distances and times using text inputs