Identity
- Type
- big tech
- Country label
- USA
- HQ country
- USA
- Founding country
- USA
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased
Muse Spark 1.3multimodal LLM2 Sep 2026
Muse Glimmer 30Bmultimodal LLM10 Aug 2026
Muse Spark 1.1LLM9 Jul 2026
Muse Videovideo generation7 Jul 2026
Muse Imageimage generationJul 2026
Sapiens2vision23 Apr 2026
Muse SparkLLM8 Apr 2026
SAM 3.1 (Object Multiplex)vision27 Mar 2026
EUPE (Efficient Universal Perception Encoder)vision23 Mar 2026
SAM Audiomusic and audio12 Dec 2025
Omnilingual ASRspeech recognition10 Nov 2025
SAM 3visionNov 2025
MapAnything3D8 Sep 2025
DINOv3vision13 Aug 2025
DINOv3 ConvNeXt-Bvision13 Aug 2025
DINOv3 ConvNeXt-Lvision13 Aug 2025
DINOv3 ConvNeXt-Svision13 Aug 2025
DINOv3 ConvNeXt-Tvision13 Aug 2025
DINOv3 ViT-7Bvision13 Aug 2025
DINOv3 ViT-Bvision13 Aug 2025
DINOv3 ViT-H+vision13 Aug 2025
DINOv3 ViT-Lvision13 Aug 2025
DINOv3 ViT-Svision13 Aug 2025
DINOv3 ViT-S+vision13 Aug 2025
DINOv3 SAT-493M ViT-7BgeospatialAug 2025
DINOv3 SAT-493M ViT-L (distilled)geospatialAug 2025
MetaCLIP 2 (worldwide, ViT-H)embedding31 Jul 2025
V-JEPA 2world model11 Jun 2025
V-JEPA 2-ACrobot policy11 Jun 2025
Perception Encoderembedding11 Apr 2025
PE-Core-L14-336embedding11 Apr 2025
PE-Core-G14-448embedding11 Apr 2025
Llama 4LLMApr 2025
Llama 4 Maverickmultimodal LLMApr 2025
Llama 4 Scoutmultimodal LLMApr 2025
Llama Guard 4 12BguardApr 2025
Llama Prompt Guard 2 22MguardApr 2025
Llama Prompt Guard 2 86MguardApr 2025
Prompt-Guard-86MguardApr 2025
eSEN-30M-OAMmaterials17 Mar 2025
VGGT3D11 Mar 2025
Audiobox Aestheticsaudio classification7 Feb 2025
EdgeTAMvision13 Jan 2025
Llama-3.3-70B-InstructLLM26 Nov 2024
MobileLLM 1Bedge LLM31 Oct 2024
MobileLLM 125Medge LLM30 Oct 2024
Llama 3.2LLM24 Oct 2024
Llama 3.2 1Bedge LLM24 Oct 2024
Llama 3.2 3Bedge LLM24 Oct 2024
LongVUMeta, King Abdullah University of Science and Technologymultimodal LLM18 Oct 2024
Sapiensvision22 Aug 2024
Llama-3.1-8B-InstructLLM18 Jul 2024
HSTU (Generative Recommenders)recommendation27 Feb 2024
MobileLLMedge LLM22 Feb 2024
MAGNeTmusic and audio9 Jan 2024
w2v-bert-2.0speech recognition19 Dec 2023
Llama GuardguardDec 2023
SeamlessM4T v2 largetranslation30 Nov 2023
Dobb-ENew York University, Metarobot policy27 Nov 2023
NougatOCR and document25 Aug 2023
Code Llamacode24 Aug 2023
SeamlessM4Ttranslation22 Aug 2023
DINOv2vision17 Jul 2023
mms-1b-allspeech recognition27 May 2023
ImageBindembedding9 May 2023
I-JEPAvision19 Jan 2023
ConvNeXt V2vision2 Jan 2023
MusicGenmusic and audio2023
HorNetTsinghua University, Metavision28 Jul 2022
NLLB-200translation8 Jul 2022
NLLB-200 distilled 600Mtranslation8 Jul 2022
NLLB-200 distilled 1.3Btranslation8 Jul 2022
NLLB-200 3.3Btranslation8 Jul 2022
OPT 66BLLM23 Jun 2022
OPT 125MLLM11 May 2022
OPT 1.3BLLM11 May 2022
OPT 6.7BLLM11 May 2022
OPTLLM2 May 2022
DeiT IIIvision14 Apr 2022
ViTDetvision30 Mar 2022
data2vec visionvision7 Feb 2022
ConvNeXtvision10 Jan 2022
ConvNeXtvision10 Jan 2022
Deticvision7 Jan 2022
Mask2Formervision2 Dec 2021
MAE (Masked Autoencoder)vision11 Nov 2021
MaskFormervision13 Jul 2021
XCiTvision17 Jun 2021
HuBERTspeech recognition14 Jun 2021
hubert-base-ls960speech recognition14 Jun 2021
hubert-large-ll60kspeech recognition14 Jun 2021
hubert-xlarge-ll60kspeech recognition14 Jun 2021
DINO (v1)vision29 Apr 2021
MViT (Multiscale Vision Transformers)vision22 Apr 2021
LeViTvision2 Apr 2021
CaiTvision31 Mar 2021
ConViTEcole Normale Superieure (Paris), Metavision19 Mar 2021
RegNetZvision11 Mar 2021
Barlow TwinsMeta, New York Universityvision4 Mar 2021
D2Govision12 Feb 2021
TimeSformervision9 Feb 2021
DeiTvision23 Dec 2020
DeiT-B distilledvision23 Dec 2020
DeiT-Tivision23 Dec 2020
InterNet (InterHand2.6M)Seoul National University, Metavision21 Aug 2020
SwAVINRIA, Metavision17 Jun 2020
DETRvision26 May 2020
DETR ResNet-50vision26 May 2020
DETR ResNet-101vision26 May 2020
DETR ResNet-50 panopticvision26 May 2020
ResNeStMeta, Amazonvision19 Apr 2020
X3Dvision9 Apr 2020
RegNetvision30 Mar 2020
ImVoteNetMeta, Stanford Universityvision29 Jan 2020
PointRendvision17 Dec 2019
MoCovision13 Nov 2019
XLM-RoBERTalanguage encoder5 Nov 2019
BARTLLM29 Oct 2019
Detectron2 model zoovision5 Sep 2019
RoBERTalanguage encoder26 Jul 2019
Mesh R-CNN3D6 Jun 2019
DLRM (Deep Learning Recommendation Model)recommendation31 May 2019
VoteNetvision21 Apr 2019
CSNvision4 Apr 2019
TensorMaskvision28 Mar 2019
Panoptic FPNvision8 Jan 2019
LASERembedding26 Dec 2018
LFB (Long-Term Feature Bank)University of Texas at Austin, Metavision12 Dec 2018
SlowFastvision10 Dec 2018
VideoPose3DETH Zurich, Metavision28 Nov 2018
ResNeXt-101 32x8d WSLvision2 May 2018
DensePosevision1 Feb 2018
Non-local Networks (video)Carnegie Mellon University, Metavision21 Nov 2017
RetinaNetvision7 Aug 2017
Mask R-CNNvision20 Mar 2017
Keypoint R-CNNvision20 Mar 2017
ResNeXtUC San Diego, Metavision16 Nov 2016
ResNeXt-50 32x4dUC San Diego, Metavision16 Nov 2016
fastText word vectorsembedding15 Jul 2016
DCGANindico, Metaimage generation19 Nov 2015
C3DMeta, Dartmouth Collegevision2 Dec 2014
ESM-2 / ESMFoldscientific–
Llama 2LLM–
Llama 2 70BLLM–
Llama-2-7BLLM–
Llama 3.1 405BLLM–
Llama-3.1-405B-InstructLLM–
Llama 3.1 70BLLM–
Llama 3.1 70B InstructLLM–
Llama 3.1 8BLLM–
Llama-3.2-1B-InstructLLM–
Llama 3.2 1B quantized (QLoRA)edge LLM–
Llama 3.2 1B quantized (SpinQuant)edge LLM–
Llama 3.2 3B quantized (QLoRA)edge LLM–
Llama 3.2 3B quantized (SpinQuant)edge LLM–
Llama3-70B InstructLLM–
Llama 3 8BLLM–
Meta-Llama-3-8B-InstructLLM–
MMSspeech recognition–
Muse GlimmerLLM–
Muse Spark 1.2LLM–
Muse Spark (family)LLM–
Prophettime series–
SAM 1vision–
SAM 2vision–
SAM 3D Objects3D–
V-JEPAworld model–
wav2vec 2.0speech recognition–
wav2vec2-large-xlsr-53speech recognition–
Sparshrobot policy–
RoBERTa baselanguage encoder–
RoBERTa largelanguage encoder–
XLM-RoBERTa baselanguage encoder–
XLM-RoBERTa largelanguage encoder–
BART largeLLM–
BART large CNNLLM–
BART large MNLIlanguage encoder–
mBART-50 many-to-manytranslation–
Code Llama 7Bcode–
Code Llama 13B Instructcode–
Code Llama 34B Pythoncode–
Code Llama 70B Instructcode–
VoteNetvision–Links
Organisation
Metabig tech, USA
Metabig tech, USAModels 184
DINOv3Meta, visionDeveloper
DINOv3 ViT-7BMeta, visionDeveloper
Llama 3.2Meta, LLMDeveloper
Llama 3 8BMeta, LLMDeveloper
MMSMeta, speech recognitionDeveloper
Llama 3.2 1BMeta, edge LLMDeveloper
BARTMeta, LLMDeveloper
Code LlamaMeta, codeDeveloper
DINOv2Meta, visionDeveloper
Llama 3.2 3BMeta, edge LLMDeveloper
Muse Spark (family)Meta, LLMDeveloper
Muse Spark 1.1Meta, LLMDeveloper+172
OPTMeta, LLMDeveloper
SAM 3Meta, visionDeveloper
DeiTMeta, visionDeveloper
DETRMeta, visionDeveloper
DINOv3 ConvNeXt-BMeta, visionDeveloper
DINOv3 ConvNeXt-LMeta, visionDeveloper
DINOv3 ConvNeXt-SMeta, visionDeveloper
DINOv3 ConvNeXt-TMeta, visionDeveloper
HuBERTMeta, speech recognitionDeveloper
Llama 3.1 70BMeta, LLMDeveloper
Llama 3.2 1B quantized (QLoRA)Meta, edge LLMDeveloper
Llama 3.2 1B quantized (SpinQuant)Meta, edge LLMDeveloper
Llama 3.2 3B quantized (QLoRA)Meta, edge LLMDeveloper
Llama 3.2 3B quantized (SpinQuant)Meta, edge LLMDeveloper
Llama 4Meta, LLMDeveloper
Llama 4 ScoutMeta, multimodal LLMDeveloper
Llama-2-7BMeta, LLMDeveloper
Llama-3.3-70B-InstructMeta, LLMDeveloper
MobileLLMMeta, edge LLMDeveloper
Muse Spark 1.2Meta, LLMDeveloper
NLLB-200Meta, translationDeveloper
ResNeXtUC San Diego, Meta, visionDeveloper
SapiensMeta, visionDeveloper
Sapiens2Meta, visionDeveloper
ConvNeXtMeta, visionDeveloper
ConvNeXtMeta, visionDeveloper
ConvNeXt V2Meta, visionDeveloper
DeiT IIIMeta, visionDeveloper
DeiT-B distilledMeta, visionDeveloper
DETR ResNet-50 panopticMeta, visionDeveloper
DINOv3 SAT-493M ViT-7BMeta, geospatialDeveloper
DINOv3 SAT-493M ViT-L (distilled)Meta, geospatialDeveloper
DINOv3 ViT-BMeta, visionDeveloper
DINOv3 ViT-H+Meta, visionDeveloper
DINOv3 ViT-LMeta, visionDeveloper
DINOv3 ViT-SMeta, visionDeveloper
DINOv3 ViT-S+Meta, visionDeveloper
EdgeTAMMeta, visionDeveloper
ESM-2 / ESMFoldMeta, scientificDeveloper
ImVoteNetMeta, Stanford University, visionDeveloper
InterNet (InterHand2.6M)Seoul National University, Meta, visionDeveloper
Llama 2Meta, LLMDeveloper
Llama 3.1 70B InstructMeta, LLMDeveloper
Llama 3.1 8BMeta, LLMDeveloper
Llama 4 MaverickMeta, multimodal LLMDeveloper
Llama-3.2-1B-InstructMeta, LLMDeveloper
Llama3-70B InstructMeta, LLMDeveloper
MobileLLM 125MMeta, edge LLMDeveloper
MobileLLM 1BMeta, edge LLMDeveloper
Muse SparkMeta, LLMDeveloper
Muse Spark 1.3Meta, multimodal LLMDeveloper
NLLB-200 distilled 600MMeta, translationDeveloper
Omnilingual ASRMeta, speech recognitionDeveloper
Perception EncoderMeta, embeddingDeveloper
ResNeXt-50 32x4dUC San Diego, Meta, visionDeveloper
RoBERTaMeta, language encoderDeveloper
SAM 2Meta, visionDeveloper
SAM 3.1 (Object Multiplex)Meta, visionDeveloper
SeamlessM4TMeta, translationDeveloper
V-JEPAMeta, world modelDeveloper
V-JEPA 2Meta, world modelDeveloper
V-JEPA 2-ACMeta, robot policyDeveloper
VoteNetMeta, visionDeveloper
XLM-RoBERTaMeta, language encoderDeveloper
Barlow TwinsMeta, New York University, visionDeveloper
BART largeMeta, LLMDeveloper
BART large CNNMeta, LLMDeveloper
BART large MNLIMeta, language encoderDeveloper
C3DMeta, Dartmouth College, visionDeveloper
Code Llama 13B InstructMeta, codeDeveloper
Code Llama 34B PythonMeta, codeDeveloper
Code Llama 70B InstructMeta, codeDeveloper
Code Llama 7BMeta, codeDeveloper
ConViTEcole Normale Superieure (Paris), Meta, visionDeveloper
DCGANindico, Meta, image generationDeveloper
DeiT-TiMeta, visionDeveloper
DETR ResNet-101Meta, visionDeveloper
DETR ResNet-50Meta, visionDeveloper
DINO (v1)Meta, visionDeveloper
Dobb-ENew York University, Meta, robot policyDeveloper
fastText word vectorsMeta, embeddingDeveloper
HorNetTsinghua University, Meta, visionDeveloper
HSTU (Generative Recommenders)Meta, recommendationDeveloper
hubert-base-ls960Meta, speech recognitionDeveloper
hubert-large-ll60kMeta, speech recognitionDeveloper
hubert-xlarge-ll60kMeta, speech recognitionDeveloper
ImageBindMeta, embeddingDeveloper
Keypoint R-CNNMeta, visionDeveloper
LASERMeta, embeddingDeveloper
LFB (Long-Term Feature Bank)University of Texas at Austin, Meta, visionDeveloper
Llama GuardMeta, guardDeveloper
Llama Guard 4 12BMeta, guardDeveloper
Llama-3.1-405B-InstructMeta, LLMDeveloper
Llama-3.1-8B-InstructMeta, LLMDeveloper
LongVUMeta, King Abdullah University of Science and Technology, multimodal LLMDeveloper
Mask R-CNNMeta, visionDeveloper
Meta-Llama-3-8B-InstructMeta, LLMDeveloper
mms-1b-allMeta, speech recognitionDeveloper
Muse Glimmer 30BMeta, multimodal LLMDeveloper
MViT (Multiscale Vision Transformers)Meta, visionDeveloper
NLLB-200 3.3BMeta, translationDeveloper
NLLB-200 distilled 1.3BMeta, translationDeveloper
Non-local Networks (video)Carnegie Mellon University, Meta, visionDeveloper
OPT 1.3BMeta, LLMDeveloper
OPT 125MMeta, LLMDeveloper
OPT 6.7BMeta, LLMDeveloper
OPT 66BMeta, LLMDeveloper
PE-Core-G14-448Meta, embeddingDeveloper
PE-Core-L14-336Meta, embeddingDeveloper
RegNetMeta, visionDeveloper
RegNetZMeta, visionDeveloper
ResNeStMeta, Amazon, visionDeveloper
ResNeXt-101 32x8d WSLMeta, visionDeveloper
RoBERTa baseMeta, language encoderDeveloper
RoBERTa largeMeta, language encoderDeveloper
SAM 1Meta, visionDeveloper
SAM 3D ObjectsMeta, 3DDeveloper
SeamlessM4T v2 largeMeta, translationDeveloper
SwAVINRIA, Meta, visionDeveloper
VideoPose3DETH Zurich, Meta, visionDeveloper
VoteNetMeta, visionDeveloper
wav2vec 2.0Meta, speech recognitionDeveloper
wav2vec2-large-xlsr-53Meta, speech recognitionDeveloper
X3DMeta, visionDeveloper
XLM-RoBERTa baseMeta, language encoderDeveloper
XLM-RoBERTa largeMeta, language encoderDeveloper
Audiobox AestheticsMeta, audio classificationDeveloper
CaiTMeta, visionDeveloper
CSNMeta, visionDeveloper
D2GoMeta, visionDeveloper
data2vec visionMeta, visionDeveloper
DensePoseMeta, visionDeveloper
Detectron2 model zooMeta, visionDeveloper
DeticMeta, visionDeveloper
DLRM (Deep Learning Recommendation Model)Meta, recommendationDeveloper
eSEN-30M-OAMMeta, materialsDeveloper
EUPE (Efficient Universal Perception Encoder)Meta, visionDeveloper
I-JEPAMeta, visionDeveloper
LeViTMeta, visionDeveloper
Llama 2 70BMeta, LLMDeveloper
Llama 3.1 405BMeta, LLMDeveloper
Llama Prompt Guard 2 22MMeta, guardDeveloper
Llama Prompt Guard 2 86MMeta, guardDeveloper
MAE (Masked Autoencoder)Meta, visionDeveloper
MAGNeTMeta, music and audioDeveloper
MapAnythingMeta, 3DDeveloper
Mask2FormerMeta, visionDeveloper
MaskFormerMeta, visionDeveloper
mBART-50 many-to-manyMeta, translationDeveloper
Mesh R-CNNMeta, 3DDeveloper
MetaCLIP 2 (worldwide, ViT-H)Meta, embeddingDeveloper
MoCoMeta, visionDeveloper
Muse GlimmerMeta, LLMDeveloper
Muse ImageMeta, image generationDeveloper
Muse VideoMeta, video generationDeveloper
MusicGenMeta, music and audioDeveloper
NougatMeta, OCR and documentDeveloper
Panoptic FPNMeta, visionDeveloper
PointRendMeta, visionDeveloper
Prompt-Guard-86MMeta, guardDeveloper
ProphetMeta, time seriesDeveloper
RetinaNetMeta, visionDeveloper
SAM AudioMeta, music and audioDeveloper
SlowFastMeta, visionDeveloper
SparshMeta, robot policyDeveloper
TensorMaskMeta, visionDeveloper
TimeSformerMeta, visionDeveloper
VGGTMeta, 3DDeveloper
ViTDetMeta, visionDeveloper
w2v-bert-2.0Meta, speech recognitionDeveloper
XCiTMeta, visionDeveloperScores
| Benchmark | Model | Score | Who ran it | Setting |
|---|---|---|---|---|
| Arena Text leaderboard | Muse Spark 1.3 | 1,494 Elo | independent | max |
| Arena Vision leaderboard | Muse Spark | 1,294 Elo | independent | muse-spark |
| Arena Vision leaderboard | Muse Spark 1.1 | 1,280 Elo | independent | |
| Arena Vision leaderboard | Muse Spark 1.2 | 1,293 Elo | independent | xHigh |
| Arena Vision leaderboard | Muse Spark 1.3 | 1,286 Elo | independent | xHigh |
| Arena Vision leaderboard | Muse Spark 1.3 | 1,290 Elo | independent | max (muse-spark-1.3-max) |
| Artificial Analysis Intelligence Index | Muse Spark 1.3 | 48 index | independent | max |
| Artificial Analysis Intelligence Index | Muse Spark 1.3 | 48 index | independent | max |
| Artificial Analysis Music Arena | MusicGen | 881 Elo | independent | secondary capture of AA post; lowest reported |
| Artificial Analysis Text-to-Image Arena | Muse Image | 1,116 Elo | independent | rank shown as 8-10 |
| Common Voice 22 (CV22-76) | Omnilingual ASR | 6.4 CER | vendor-reported | 7B LLM-ASR, CV22-76, approximate |
| Epic-Kitchens-100 action anticipation | V-JEPA 2 | 39.7 R@5 | vendor-reported | anticipation |
| FLEURS | Omnilingual ASR | 6.2 CER | vendor-reported | 7B LLM-ASR, FLEURS-102, approximate |
| IDSV (Indonesian Speech Variability) | mms-1b-all | 29.3 WER | independent | IDSV test, all, zero-shot |
| IDSV (Indonesian Speech Variability) | mms-1b-all | 9.57 CER | independent | IDSV test, all, zero-shot |
| LMArena Text-to-Image Arena | Muse Image | 1,274 Elo | independent | |
| LMArena Text-to-Video Arena | Muse Video | 1,456 Elo | independent | |
| LVIS | SAM 3 | 37.2 cgF1 | vendor-reported | instance segmentation |
| LVIS | SAM 3 | 40.6 cgF1 | vendor-reported | box |
| LVIS | SAM 3 | 48.5 AP | vendor-reported | instance segmentation |
| Matbench Discovery | eSEN-30M-OAM | 0.17 kSRME | maintainer-run | lower is better |
| Matbench Discovery | eSEN-30M-OAM | 0.888 CPS | maintainer-run | |
| Matbench Discovery | eSEN-30M-OAM | 0.925 F1 | maintainer-run | |
| MCP Atlas | Muse Glimmer 30B | 75.5 % | vendor-reported | |
| PerceptionTest | V-JEPA 2 | 84 % | vendor-reported | 8B LLM-aligned scale |
| SA-Co/Gold | SAM 3 | 54.1 cgF1 | vendor-reported | human 72.8 |
| SA-V | SAM 3 | 30.3 cgF1 | vendor-reported | test; human 53.1 |
| SEA-HELM | Llama 4 Scout | 63.43 score | maintainer-run | Checkpoint Llama-4-Scout-17B-16E-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Llama 4 Scout | 67.86 score | maintainer-run | Checkpoint Llama-4-Scout-17B-16E-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Llama-3.1-8B-Instruct | 37.2 score | maintainer-run | Checkpoint Llama-3.1-8B-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Llama-3.1-8B-Instruct | 54.48 score | maintainer-run | Checkpoint Llama-3.1-8B-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Llama-3.3-70B-Instruct | 60.44 score | maintainer-run | Checkpoint Llama-3.3-70B-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Llama-3.3-70B-Instruct | 71.37 score | maintainer-run | Checkpoint Llama-3.3-70B-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Muse Glimmer 30B | 72.13 score | maintainer-run | |
| SEA-HELM | Muse Glimmer 30B | 75.61 score | maintainer-run | |
| Something-Something v2 | V-JEPA 2 | 77.3 % top-1 | vendor-reported | |
| SWE-bench Pro | Muse Spark 1.1 | 61.5 % | maintainer-run | Scale SEAL public, mini-swe-agent, +/-3.10 |
| SWE-bench Verified | Muse Glimmer 30B | 76 % | vendor-reported | |
| TempCompass | V-JEPA 2 | 76.9 % | vendor-reported | 8B LLM-aligned scale |
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
Sources
- AI at Meta Blog ai.meta.com https://ai.meta.com/blog/
- Muse Spark 1.3 (max) - Intelligence, Performance & Price Analysis | Artificial Analysis artificialanalysis.ai https://artificialanalysis.ai/models/muse-spark-1-3
- huggingface.co/meta-models https://huggingface.co/meta-models
- huggingface.co/meta-llama https://huggingface.co/meta-llama
- GitHub - facebookresearch/sam3: The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SA github.com https://github.com/facebookresearch/sam3
- huggingface.co/facebook/dinov3-vit7b16-pretrain-sat493m https://huggingface.co/facebook/dinov3-vit7b16-pretrain-sat493m
- Meta Superintelligence Labs - Wikipedia en.wikipedia.org https://en.wikipedia.org/wiki/Meta_Superintelligence_Labs
- Introducing quantized Llama models with increased speed and a reduced memory footprint ai.meta.com https://ai.meta.com/blog/meta-llama-quantized-lightweight-models/
- GitHub - pytorch/executorch: On-device AI across mobile, embedded and edge for PyTorch github.com https://github.com/pytorch/executorch
- Indonesia Tech Leaders Team With NVIDIA and Partners to Launch Nation’s AI blogs.nvidia.com https://blogs.nvidia.com/?p=75648
- Training compute of frontier AI models grows by 4-5x per year epoch.ai https://epoch.ai/blog/training-compute-of-frontier-ai-models-grows-by-4-5x-per-year
- Over 30 AI models have been trained at the scale of GPT-4 epoch.ai https://epoch.ai/data-insights/models-over-1e25-flop
- Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations arxiv.org https://arxiv.org/abs/2312.06674
- Introducing the V-JEPA 2 world model and new benchmarks for physical reasoning ai.meta.com https://ai.meta.com/blog/v-jepa-2-world-model-benchmarks/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Meta", https://aurion.semai.id/organisations/meta/, records of October 2026.

