What a great day for Open Science! 
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What a great day for Open Science! 
@AIatMeta
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AIatMeta
 released models, datasets, and code for many of its research artefacts! 🔥
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 released models, datasets, and code for many of its research artefacts! 🔥
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1. Meta Segment Anything Model 2.1: An updated checkpoint with improved results on visually similar objects, small objects and occlusion handling. A new developer suite will be added to make it easier for developers to build with SAM 2. 
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1. Meta Segment Anything Model 2.1: An updated checkpoint with improved results on visually similar objects, small objects and occlusion handling. A new developer suite will be added to make it easier for developers to build with SAM 2. 
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Model checkpoints: 
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Model checkpoints: 
https://huggingface.co/collections/reach-vb/sam-21-6702d40defe7611a8bafa881
reach-vb/sam-21-6702d40defe7611a8bafa881
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https://huggingface.co/collections/reach-vb/sam-21-6702d40defe7611a8bafa881
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2. Layer Skip: Inference code and fine-tuned checkpoints demonstrating a new method for enhancing LLM performance.
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2. Layer Skip: Inference code and fine-tuned checkpoints demonstrating a new method for enhancing LLM performance.
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Model checkpoints: 
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Model checkpoints: 
https://huggingface.co/collections/facebook/layerskip-666b25c50c8ae90e1965727a
facebook/layerskip-666b25c50c8ae90e1965727a
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https://huggingface.co/collections/facebook/layerskip-666b25c50c8ae90e1965727a
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3. SALSA: New code enables researchers to benchmark AI-based attacks to validate security for post-quantum cryptography. 
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3. SALSA: New code enables researchers to benchmark AI-based attacks to validate security for post-quantum cryptography. 
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Repo: 
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Repo: 
https://github.com/facebookresearch/LWE-benchmarking
https://github.com/facebookresearch/LWE-benchmarking
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4. Meta Lingua: A lightweight and self-contained codebase designed to train language models at scale.
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4. Meta Lingua: A lightweight and self-contained codebase designed to train language models at scale.
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Repo: 
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Repo: 
https://github.com/facebookresearch/lingua
https://github.com/facebookresearch/lingua
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5. Meta Open Materials: New open source models and the largest dataset to accelerate AI-driven discovery of new inorganic materials.
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5. Meta Open Materials: New open source models and the largest dataset to accelerate AI-driven discovery of new inorganic materials.
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Model checkpoints: 
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Model checkpoints: 
https://huggingface.co/fairchem/OMAT24
https://huggingface.co/fairchem/OMAT24
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6. MEXMA: A new research paper and code for our novel pre-trained cross-lingual sentence encoder covering 80 languages.
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6. MEXMA: A new research paper and code for our novel pre-trained cross-lingual sentence encoder covering 80 languages.
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Model checkpoint: 
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Model checkpoint: 
https://huggingface.co/facebook/MEXMA
facebook/MEXMA
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https://huggingface.co/facebook/MEXMA
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7. Self-Taught Evaluator: a new method for generating synthetic preference data to train reward models without relying on human annotations.
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7. Self-Taught Evaluator: a new method for generating synthetic preference data to train reward models without relying on human annotations.
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Model checkpoint: 
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Model checkpoint: 
https://huggingface.co/facebook/Self-taught-evaluator-llama3.1-70B
facebook/Self-taught-evaluator-llama3.1-70B
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https://huggingface.co/facebook/Self-taught-evaluator-llama3.1-70B
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8. Meta Spirit LM: An open-source language model for seamless speech and text integration.
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8. Meta Spirit LM: An open-source language model for seamless speech and text integration.
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Repo: 
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Repo: 
https://github.com/facebookresearch/spiritlm
https://github.com/facebookresearch/spiritlm
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What a great day for Open Science! @AIatMeta released models, datasets, and code for many of its research artefacts! 🔥

1. Meta Segment Anything Model 2.1: An updated checkpoint with improved results on visually similar objects, small objects and occlusion handling. A new developer suite will be added to make it easier for developers to build with SAM 2. 

Model checkpoints: https://huggingface.co/collections/reach-vb/sam-21-6702d40defe7611a8bafa881

2. Layer Skip: Inference code and fine-tuned checkpoints demonstrating a new method for enhancing LLM performance.

Model checkpoints: https://huggingface.co/collections/facebook/layerskip-666b25c50c8ae90e1965727a

3. SALSA: New code enables researchers to benchmark AI-based attacks to validate security for post-quantum cryptography. 

Repo: https://github.com/facebookresearch/LWE-benchmarking

4. Meta Lingua: A lightweight and self-contained codebase designed to train language models at scale.

Repo: https://github.com/facebookresearch/lingua

5. Meta Open Materials: New open source models and the largest dataset to accelerate AI-driven discovery of new inorganic materials.

Model checkpoints: https://huggingface.co/fairchem/OMAT24

6. MEXMA: A new research paper and code for our novel pre-trained cross-lingual sentence encoder covering 80 languages.

Model checkpoint: https://huggingface.co/facebook/MEXMA

7. Self-Taught Evaluator: a new method for generating synthetic preference data to train reward models without relying on human annotations.

Model checkpoint: https://huggingface.co/facebook/Self-taught-evaluator-llama3.1-70B

8. Meta Spirit LM: An open-source language model for seamless speech and text integration.

Repo: https://github.com/facebookresearch/spiritlm
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abidlabs John6666 pcuenq clem blanchon nbroad kuotient
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Julien BLANCHON
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Julien Chaumond
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