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Diaries of Open Source. Part 8!
Diaries of Open Source. Part 8!
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🤯CRM: Image-to-3D Textured Mesh
🤯CRM: Image-to-3D Textured Mesh
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Demo: 
Demo: 
resource
https://hf.co/spaces/Zhengyi/CRM
space
Zhengyi/CRM
https://hf.co/spaces/Zhengyi/CRM
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Model: 
Model: 
resource
https://hf.co/Zhengyi/CRM
model
Zhengyi/CRM
https://hf.co/Zhengyi/CRM
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Project page: 
Project page: 
link
https://ml.cs.tsinghua.edu.cn/~zhengyi/CRM/
https://ml.cs.tsinghua.edu.cn/~zhengyi/CRM/
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Paper: 
Paper: 
resource
https://huggingface.co/papers/2403.05034
paper
2403.05034
https://huggingface.co/papers/2403.05034
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction
  Model (2403.05034)
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🤏Half Quadratic Quantization: super-fast quantization of very large models
🤏Half Quadratic Quantization: super-fast quantization of very large models
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Blog post: 
Blog post: 
link
https://mobiusml.github.io/hqq_blog/
https://mobiusml.github.io/hqq_blog/
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Colab: 
Colab: 
link
https://colab.research.google.com/drive/1cG_5R_u9q53Uond7F0JEdliwvoeeaXVN?usp=sharing
https://colab.research.google.com/drive/1cG_5R_u9q53Uond7F0JEdliwvoeeaXVN?usp=sharing
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Repo: 
Repo: 
link
https://github.com/mobiusml/hqq
https://github.com/mobiusml/hqq
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🤗GemMoE -Gemma + MoE
🤗GemMoE -Gemma + MoE
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Model: 
Model: 
resource
https://hf.co/Crystalcareai/GemMoE-Base-Random
model
Crystalcareai/GemMoE-Base-Random
https://hf.co/Crystalcareai/GemMoE-Base-Random
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Collection: 
Collection: 
resource
https://huggingface.co/collections/Crystalcareai/gemmoe-65f11f4922af97ebe9943591
collection
Crystalcareai/gemmoe-65f11f4922af97ebe9943591
https://huggingface.co/collections/Crystalcareai/gemmoe-65f11f4922af97ebe9943591
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👀VeCLIP and MOFI, new 0-shot and image retrieval models by Apple, are now open-source!
👀VeCLIP and MOFI, new 0-shot and image retrieval models by Apple, are now open-source!
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GitHub: 
GitHub: 
link
https://github.com/apple/ml-veclip/
https://github.com/apple/ml-veclip/
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 and 
 and 
link
https://github.com/apple/ml-mofi
https://github.com/apple/ml-mofi
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VeCLIP paper: 
VeCLIP paper: 
resource
https://hf.co/papers/2310.07699
paper
2310.07699
https://hf.co/papers/2310.07699
From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched
  Captions (2310.07699)
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MOFI paper: 
MOFI paper: 
resource
https://hf.co/papers/2306.07952
paper
2306.07952
https://hf.co/papers/2306.07952
MOFI: Learning Image Representations from Noisy Entity Annotated Images (2306.07952)
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⚡SPIN: Recipe for alignment with very little data
⚡SPIN: Recipe for alignment with very little data
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Collection: 
Collection: 
resource
https://hf.co/collections/argilla/dibt-prompt-collective-spin-65ef59062518776024395fc3
collection
argilla/dibt-prompt-collective-spin-65ef59062518776024395fc3
https://hf.co/collections/argilla/dibt-prompt-collective-spin-65ef59062518776024395fc3
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Tweetutorial: 
Tweetutorial: 
link
https://twitter.com/argilla_io/status/1767608154697699455
https://twitter.com/argilla_io/status/1767608154697699455
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👀ViT Prisma - an interoperability library for vision models
👀ViT Prisma - an interoperability library for vision models
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GitHub: 
GitHub: 
link
https://github.com/soniajoseph/ViT-Prisma
https://github.com/soniajoseph/ViT-Prisma
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☕OpenLRM: full model and training code are open-sourced
☕OpenLRM: full model and training code are open-sourced
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Codebase: 
Codebase: 
link
https://github.com/3DTopia/OpenLRM
https://github.com/3DTopia/OpenLRM
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Demo: 
Demo: 
resource
https://hf.co/spaces/zxhezexin/OpenLRM
space
zxhezexin/OpenLRM
https://hf.co/spaces/zxhezexin/OpenLRM
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Models: 
Models: 
link
https://huggingface.co/zxhezexin
https://huggingface.co/zxhezexin
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⚗️Oxford releases  an extensive PEFT evaluation for bio models
⚗️Oxford releases  an extensive PEFT evaluation for bio models
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Model: 
Model: 
resource
https://hf.co/NTaylor/bio-mobilebert-mimic-mp-lora
model
NTaylor/bio-mobilebert-mimic-mp-lora
https://hf.co/NTaylor/bio-mobilebert-mimic-mp-lora
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GitHub: 
GitHub: 
link
https://github.com/nlpie-research/efficient-ml
https://github.com/nlpie-research/efficient-ml
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Paper: 
Paper: 
resource
https://hf.co/papers/2402.10597
paper
2402.10597
https://hf.co/papers/2402.10597
Efficiency at Scale: Investigating the Performance of Diminutive
  Language Models in Clinical Tasks (2402.10597)
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🌍Data and models around the world
🌍Data and models around the world
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Hermes 2 Pro 7B: an upgraded Nous Hermes 2 model with strong function calling and JSON capabilities  
Hermes 2 Pro 7B: an upgraded Nous Hermes 2 model with strong function calling and JSON capabilities  
resource
https://hf.co/NousResearch/Hermes-2-Pro-Mistral-7B
model
NousResearch/Hermes-2-Pro-Mistral-7B
https://hf.co/NousResearch/Hermes-2-Pro-Mistral-7B
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 Navarasa-2.0 : Gemma fine-tuned in 15 indian language 
 Navarasa-2.0 : Gemma fine-tuned in 15 indian language 
resource
https://hf.co/collections/Telugu-LLM-Labs/navarasa-65f5e6ffdf29f02c6d7767ce
collection
Telugu-LLM-Labs/navarasa-65f5e6ffdf29f02c6d7767ce
https://hf.co/collections/Telugu-LLM-Labs/navarasa-65f5e6ffdf29f02c6d7767ce
Diaries of Open Source. Part 8!

🤯CRM: Image-to-3D Textured Mesh
Demo: https://hf.co/spaces/Zhengyi/CRM
Model: https://hf.co/Zhengyi/CRM
Project page: https://ml.cs.tsinghua.edu.cn/~zhengyi/CRM/
Paper: https://huggingface.co/papers/2403.05034

🤏Half Quadratic Quantization: super-fast quantization of very large models
Blog post: https://mobiusml.github.io/hqq_blog/
Colab: https://colab.research.google.com/drive/1cG_5R_u9q53Uond7F0JEdliwvoeeaXVN?usp=sharing
Repo: https://github.com/mobiusml/hqq

🤗GemMoE -Gemma + MoE
Model: https://hf.co/Crystalcareai/GemMoE-Base-Random
Collection: https://huggingface.co/collections/Crystalcareai/gemmoe-65f11f4922af97ebe9943591

👀VeCLIP and MOFI, new 0-shot and image retrieval models by Apple, are now open-source!
GitHub: https://github.com/apple/ml-veclip/ and https://github.com/apple/ml-mofi
VeCLIP paper: https://hf.co/papers/2310.07699
MOFI paper: https://hf.co/papers/2306.07952

⚡SPIN: Recipe for alignment with very little data
Collection: https://hf.co/collections/argilla/dibt-prompt-collective-spin-65ef59062518776024395fc3
Tweetutorial: https://twitter.com/argilla_io/status/1767608154697699455

👀ViT Prisma - an interoperability library for vision models
GitHub: https://github.com/soniajoseph/ViT-Prisma

☕OpenLRM: full model and training code are open-sourced
Codebase: https://github.com/3DTopia/OpenLRM
Demo: https://hf.co/spaces/zxhezexin/OpenLRM
Models: https://huggingface.co/zxhezexin

⚗️Oxford releases  an extensive PEFT evaluation for bio models
Model: https://hf.co/NTaylor/bio-mobilebert-mimic-mp-lora
GitHub: https://github.com/nlpie-research/efficient-ml
Paper: https://hf.co/papers/2402.10597

🌍Data and models around the world
Hermes 2 Pro 7B: an upgraded Nous Hermes 2 model with strong function calling and JSON capabilities  https://hf.co/NousResearch/Hermes-2-Pro-Mistral-7B
 Navarasa-2.0 : Gemma fine-tuned in 15 indian language https://hf.co/collections/Telugu-LLM-Labs/navarasa-65f5e6ffdf29f02c6d7767ce
❤️
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dvilasuero samusenps mmhamdy clem
https://cdn-avatars.huggingface.co/v1/production/uploads/6032802e1f993496bc14d9e3/w6hr-DEQot4VVkoyRIBiy.png
Omar Sanseviero
osanseviero
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/avatars/5b227ae11e3b455f88e1a9bf7483420a.svg
Niall Taylor
NTaylor
user
https://cdn-avatars.huggingface.co/v1/production/uploads/64aea8ff67511bd3d965697b/Jxn52EmDF5RApJh8antxn.jpeg
Feynman Innovations
ajibawa-2023
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