Collections
Discover the best community collections!
Collections trending this week
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DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters
Updated • 245 -
DavidAU/TieFighter-Holodeck-Holomax-Mythomax-F1-V1-COMPOS-20B-gguf
Text Generation • 20B • Updated • 3.29k • 56 -
DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF-imatrix
Text Generation • 20B • Updated • 3k • 24 -
DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF
Text Generation • 20B • Updated • 2.07k • 26
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orcarouter/Qwen3.8-27B-Uncensored-FP8
Image-Text-to-Text • 28B • Updated • 449k • 1.51k -
orcarouter/Qwen3.8-27B-Uncensored-GGUF
Image-Text-to-Text • 27B • Updated • 315k • 863 -
orcarouter/Qwen3.8-27B-Uncensored-MLX
Image-Text-to-Text • 27B • Updated • 156k • 1.34k -
orcarouter/Qwen3.8-27B-Uncensored
Image-Text-to-Text • 28B • Updated • 70k • 308
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NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference
Paper • 2609.01657 • Published • 27 -
Hcompany/NeoMME-260M
Feature Extraction • 0.3B • Updated • 700 • 12 -
Hcompany/NeoMME-800M
Feature Extraction • 0.8B • Updated • 141 • 5 -
NeoMME-Retriever - Demo
🔎7Visual document retrieval and RAG with NeoMME-Retriever
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DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters
Updated • 245 -
DavidAU/TieFighter-Holodeck-Holomax-Mythomax-F1-V1-COMPOS-20B-gguf
Text Generation • 20B • Updated • 3.29k • 56 -
DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF-imatrix
Text Generation • 20B • Updated • 3k • 24 -
DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF
Text Generation • 20B • Updated • 2.07k • 26
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orcarouter/Qwen3.8-27B-Uncensored-FP8
Image-Text-to-Text • 28B • Updated • 449k • 1.51k -
orcarouter/Qwen3.8-27B-Uncensored-GGUF
Image-Text-to-Text • 27B • Updated • 315k • 863 -
orcarouter/Qwen3.8-27B-Uncensored-MLX
Image-Text-to-Text • 27B • Updated • 156k • 1.34k -
orcarouter/Qwen3.8-27B-Uncensored
Image-Text-to-Text • 28B • Updated • 70k • 308
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NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference
Paper • 2609.01657 • Published • 27 -
Hcompany/NeoMME-260M
Feature Extraction • 0.3B • Updated • 700 • 12 -
Hcompany/NeoMME-800M
Feature Extraction • 0.8B • Updated • 141 • 5 -
NeoMME-Retriever - Demo
🔎7Visual document retrieval and RAG with NeoMME-Retriever