text
What a great day for Open Science! 
What a great day for Open Science! 
mention
@AIatMeta
AIatMeta
text
 released models, datasets, and code for many of its research artefacts! 🔥
 released models, datasets, and code for many of its research artefacts! 🔥
new_line
new_line
text
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. 
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. 
new_line
new_line
text
Model checkpoints: 
Model checkpoints: 
resource
https://huggingface.co/collections/reach-vb/sam-21-6702d40defe7611a8bafa881
collection
reach-vb/sam-21-6702d40defe7611a8bafa881
https://huggingface.co/collections/reach-vb/sam-21-6702d40defe7611a8bafa881
new_line
new_line
text
2. Layer Skip: Inference code and fine-tuned checkpoints demonstrating a new method for enhancing LLM performance.
2. Layer Skip: Inference code and fine-tuned checkpoints demonstrating a new method for enhancing LLM performance.
new_line
new_line
text
Model checkpoints: 
Model checkpoints: 
resource
https://huggingface.co/collections/facebook/layerskip-666b25c50c8ae90e1965727a
collection
facebook/layerskip-666b25c50c8ae90e1965727a
https://huggingface.co/collections/facebook/layerskip-666b25c50c8ae90e1965727a
new_line
new_line
text
3. SALSA: New code enables researchers to benchmark AI-based attacks to validate security for post-quantum cryptography. 
3. SALSA: New code enables researchers to benchmark AI-based attacks to validate security for post-quantum cryptography. 
new_line
new_line
text
Repo: 
Repo: 
link
https://github.com/facebookresearch/LWE-benchmarking
https://github.com/facebookresearch/LWE-benchmarking
new_line
new_line
text
4. Meta Lingua: A lightweight and self-contained codebase designed to train language models at scale.
4. Meta Lingua: A lightweight and self-contained codebase designed to train language models at scale.
new_line
new_line
text
Repo: 
Repo: 
link
https://github.com/facebookresearch/lingua
https://github.com/facebookresearch/lingua
new_line
new_line
text
5. Meta Open Materials: New open source models and the largest dataset to accelerate AI-driven discovery of new inorganic materials.
5. Meta Open Materials: New open source models and the largest dataset to accelerate AI-driven discovery of new inorganic materials.
new_line
new_line
text
Model checkpoints: 
Model checkpoints: 
resource
https://huggingface.co/fairchem/OMAT24
model
fairchem/OMAT24
https://huggingface.co/fairchem/OMAT24
new_line
new_line
text
6. MEXMA: A new research paper and code for our novel pre-trained cross-lingual sentence encoder covering 80 languages.
6. MEXMA: A new research paper and code for our novel pre-trained cross-lingual sentence encoder covering 80 languages.
new_line
new_line
text
Model checkpoint: 
Model checkpoint: 
resource
https://huggingface.co/facebook/MEXMA
model
facebook/MEXMA
https://huggingface.co/facebook/MEXMA
new_line
new_line
text
7. Self-Taught Evaluator: a new method for generating synthetic preference data to train reward models without relying on human annotations.
7. Self-Taught Evaluator: a new method for generating synthetic preference data to train reward models without relying on human annotations.
new_line
new_line
text
Model checkpoint: 
Model checkpoint: 
resource
https://huggingface.co/facebook/Self-taught-evaluator-llama3.1-70B
model
facebook/Self-taught-evaluator-llama3.1-70B
https://huggingface.co/facebook/Self-taught-evaluator-llama3.1-70B
new_line
new_line
text
8. Meta Spirit LM: An open-source language model for seamless speech and text integration.
8. Meta Spirit LM: An open-source language model for seamless speech and text integration.
new_line
new_line
text
Repo: 
Repo: 
link
https://github.com/facebookresearch/spiritlm
https://github.com/facebookresearch/spiritlm
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
🔥
abidlabs John6666 pcuenq clem blanchon nbroad kuotient
🚀
cfahlgren1 clem blanchon nbroad
/avatars/716b6a7d1094c8036b2a8a7b9063e8aa.svg
Julien BLANCHON
blanchon
user
https://cdn-avatars.huggingface.co/v1/production/uploads/5dd96eb166059660ed1ee413/NQtzmrDdbG0H8qkZvRyGk.jpeg
Julien Chaumond
julien-c
user