FinDAP A collection's of Salesforce's Finance-specific model Paper • 2501.04961 • Published Jan 9, 2025 • 11 Updated Oct 22, 2025 • 79 • 6 Viewer • Updated Oct 22, 2025 • 25.1M • 2.53k • 5 Viewer • Updated Oct 22, 2025 • 33.8k • 414 • 9
BLIP3o-NEXT Updated Nov 6, 2025 4B • Updated Nov 4, 2025 • 9 • 2 4B • Updated Aug 20, 2025 • 8 • 2 5B • Updated Oct 17, 2025 • 7 • 2
CoDA CoDA is Salesforce AI Research's open, lightweight and diffusion-based language model. Text Generation • 2B • Updated Oct 9, 2025 • 151 • 10 Text Generation • 2B • Updated Oct 9, 2025 • 229 • 57
SweRank SweRank is a framework for software issue localization, combining an embedding-based retriever (SweRankEmbed) with an LLM-based reranker (SweRankLLM). 0.1B • Updated Jun 24, 2025 • 2.35k • 4 8B • Updated Jun 24, 2025 • 362 • 2 7B • Updated Jun 24, 2025 • 413 • 2 33B • Updated Jun 24, 2025 • 7 • 2
XGen-MM-1 models and datasets A collection of all XGen-MM (Foundation LMM) models! Image-Text-to-Text • 4B • Updated Feb 3, 2025 • 267 • 59 Viewer • Updated Feb 3, 2025 • 235M • 2.99k • 46 Image-Text-to-Text • 4B • Updated Feb 3, 2025 • 44 • 11 Image-Text-to-Text • 5B • Updated Feb 3, 2025 • 153 • 185
CoTA Datasets This collection contains all versions of the CoTA (Chain-of-Thought-and-Action) datasets. Viewer • Updated Jan 6, 2025 • 1.11M • 247 • 6 Viewer • Updated Dec 20, 2024 • 1.94M • 167 • 3 Viewer • Updated Dec 20, 2024 • 1.94M • 173 • 4 Viewer • Updated Jan 6, 2025 • 1.11M • 366 • 3
FaithEval Benchmark A collection of contextual QA datasets dedicated to evaluate the contextual faithfulness of LLMs Viewer • Updated Feb 1, 2025 • 1k • 504 • 6 Viewer • Updated Feb 1, 2025 • 1.5k • 383 • 3 Viewer • Updated Feb 1, 2025 • 2.49k • 438 • 4
BLIP2 models A collection of all BLIP2 models! Image-Text-to-Text • 4B • Updated Feb 3, 2025 • 567k • 446 Image-Text-to-Text • 12B • Updated Feb 3, 2025 • 784 • 94 Image-Text-to-Text • 8B • Updated Feb 3, 2025 • 343 • 35 Image-Text-to-Text • 8B • Updated Feb 3, 2025 • 66.1k • 80
Moirai-R models Time Series Forecasting • Updated Jan 29 • 156k • 44 Time Series Forecasting • 0.9B • Updated Jan 21, 2025 • 118k • 19 Time Series Forecasting • 13.8M • Updated Jan 21, 2025 • 52.1k • 7 Time Series Forecasting • 91.4M • Updated Jan 21, 2025 • 14.8k • 8
GiftEval Preview • Updated Jan 21, 2025 • 243k • 39 Preview • Updated Jan 21, 2025 • 4.25k • 21 Viewer • Updated Jan 16 • 245 • 38 • 2
xLAM models xLAM: A Family of Large Action Models to Empower AI Agent Systems: https://github.com/SalesforceAIResearch/xLAM Text Generation • 47B • Updated Apr 11, 2025 • 110 • 54 Text Generation • 1B • Updated Apr 11, 2025 • 2.56k • 59 1B • Updated Jan 24, 2025 • 197 • 27 7B • Updated Jan 24, 2025 • 75 • 25
FARE FARE are Salesforce AI Research's open multi-task evaluator models. Paper • 2510.17793 • Published Oct 20, 2025 • 4 4.76M • Updated Oct 21, 2025 • 14 • 4 8B • Updated Oct 21, 2025 • 124 • 3
GTA1 A collection of GUI grounding models trained with GRPO. Image-Text-to-Text • 33B • Updated Oct 3, 2025 • 35 • 6 Image-Text-to-Text • 8B • Updated Oct 3, 2025 • 1.55k • 3 Image-Text-to-Text • 8B • Updated Oct 3, 2025 • 162 • 3 Viewer • Updated Oct 3, 2025 • 70.7k • 1.12k • 5
Elastic-Reasoning Text Generation • 15B • Updated Jun 1, 2025 • 37 • 13 Text Generation • 2B • Updated May 25, 2025 • 37 • • 6 Text Generation • 15B • Updated May 25, 2025 • 31 • 6 Text Generation • 8B • Updated May 25, 2025 • 28 • 4
CogAlign models and datasets Viewer • Updated Jun 28, 2025 • 68k • 143 • 6 0.9B • Updated Feb 24, 2025 • 5 • 4 4B • Updated Feb 24, 2025 • 6 • 1 0.9B • Updated Feb 24, 2025 • 16 • 1
TACO Models This collection contains the best-performing TACO models based on LLaMA-3/Qwen2 and SigLIP/CLIP. 8B • Updated Dec 20, 2024 • 11 • 3 8B • Updated Dec 20, 2024 • 8 • 3 8B • Updated Dec 20, 2024 • 7 • 6
BLIP models A collection of all BLIP models Image-to-Text • 0.5B • Updated Feb 3, 2025 • 488k • 1.48k Image-to-Text • Updated Feb 3, 2025 • 1.56M • 860 Visual Question Answering • 0.4B • Updated Feb 3, 2025 • 266k • 194 Visual Question Answering • Updated Feb 3, 2025 • 15.1k • 54
InstructBLIP models A collection that contains all InstructBLIP models! Image-Text-to-Text • 8B • Updated Feb 3, 2025 • 5.52k • 102 Image-Text-to-Text • 14B • Updated Feb 3, 2025 • 127 • 43 Image-Text-to-Text • 12B • Updated Feb 3, 2025 • 157 • 21 Image-Text-to-Text • 4B • Updated Feb 3, 2025 • 4.55k • 30
SFR-Embedding Models A collection of embedding models Feature Extraction • 7B • Updated Feb 4, 2025 • 634k • 94 Feature Extraction • 7B • Updated Feb 4, 2025 • 9.38k • 299 Feature Extraction • 3B • Updated Jan 28, 2025 • 1.5k • 49 Feature Extraction • 0.4B • Updated Jan 24, 2025 • 15.3k • 35
GiftEval Preview • Updated Jan 21, 2025 • 243k • 39 Preview • Updated Jan 21, 2025 • 4.25k • 21 Viewer • Updated Jan 16 • 245 • 38 • 2
FinDAP A collection's of Salesforce's Finance-specific model Paper • 2501.04961 • Published Jan 9, 2025 • 11 Updated Oct 22, 2025 • 79 • 6 Viewer • Updated Oct 22, 2025 • 25.1M • 2.53k • 5 Viewer • Updated Oct 22, 2025 • 33.8k • 414 • 9
xLAM models xLAM: A Family of Large Action Models to Empower AI Agent Systems: https://github.com/SalesforceAIResearch/xLAM Text Generation • 47B • Updated Apr 11, 2025 • 110 • 54 Text Generation • 1B • Updated Apr 11, 2025 • 2.56k • 59 1B • Updated Jan 24, 2025 • 197 • 27 7B • Updated Jan 24, 2025 • 75 • 25
BLIP3o-NEXT Updated Nov 6, 2025 4B • Updated Nov 4, 2025 • 9 • 2 4B • Updated Aug 20, 2025 • 8 • 2 5B • Updated Oct 17, 2025 • 7 • 2
FARE FARE are Salesforce AI Research's open multi-task evaluator models. Paper • 2510.17793 • Published Oct 20, 2025 • 4 4.76M • Updated Oct 21, 2025 • 14 • 4 8B • Updated Oct 21, 2025 • 124 • 3
CoDA CoDA is Salesforce AI Research's open, lightweight and diffusion-based language model. Text Generation • 2B • Updated Oct 9, 2025 • 151 • 10 Text Generation • 2B • Updated Oct 9, 2025 • 229 • 57
GTA1 A collection of GUI grounding models trained with GRPO. Image-Text-to-Text • 33B • Updated Oct 3, 2025 • 35 • 6 Image-Text-to-Text • 8B • Updated Oct 3, 2025 • 1.55k • 3 Image-Text-to-Text • 8B • Updated Oct 3, 2025 • 162 • 3 Viewer • Updated Oct 3, 2025 • 70.7k • 1.12k • 5
SweRank SweRank is a framework for software issue localization, combining an embedding-based retriever (SweRankEmbed) with an LLM-based reranker (SweRankLLM). 0.1B • Updated Jun 24, 2025 • 2.35k • 4 8B • Updated Jun 24, 2025 • 362 • 2 7B • Updated Jun 24, 2025 • 413 • 2 33B • Updated Jun 24, 2025 • 7 • 2
Elastic-Reasoning Text Generation • 15B • Updated Jun 1, 2025 • 37 • 13 Text Generation • 2B • Updated May 25, 2025 • 37 • • 6 Text Generation • 15B • Updated May 25, 2025 • 31 • 6 Text Generation • 8B • Updated May 25, 2025 • 28 • 4
XGen-MM-1 models and datasets A collection of all XGen-MM (Foundation LMM) models! Image-Text-to-Text • 4B • Updated Feb 3, 2025 • 267 • 59 Viewer • Updated Feb 3, 2025 • 235M • 2.99k • 46 Image-Text-to-Text • 4B • Updated Feb 3, 2025 • 44 • 11 Image-Text-to-Text • 5B • Updated Feb 3, 2025 • 153 • 185
CogAlign models and datasets Viewer • Updated Jun 28, 2025 • 68k • 143 • 6 0.9B • Updated Feb 24, 2025 • 5 • 4 4B • Updated Feb 24, 2025 • 6 • 1 0.9B • Updated Feb 24, 2025 • 16 • 1
CoTA Datasets This collection contains all versions of the CoTA (Chain-of-Thought-and-Action) datasets. Viewer • Updated Jan 6, 2025 • 1.11M • 247 • 6 Viewer • Updated Dec 20, 2024 • 1.94M • 167 • 3 Viewer • Updated Dec 20, 2024 • 1.94M • 173 • 4 Viewer • Updated Jan 6, 2025 • 1.11M • 366 • 3
TACO Models This collection contains the best-performing TACO models based on LLaMA-3/Qwen2 and SigLIP/CLIP. 8B • Updated Dec 20, 2024 • 11 • 3 8B • Updated Dec 20, 2024 • 8 • 3 8B • Updated Dec 20, 2024 • 7 • 6
FaithEval Benchmark A collection of contextual QA datasets dedicated to evaluate the contextual faithfulness of LLMs Viewer • Updated Feb 1, 2025 • 1k • 504 • 6 Viewer • Updated Feb 1, 2025 • 1.5k • 383 • 3 Viewer • Updated Feb 1, 2025 • 2.49k • 438 • 4
BLIP models A collection of all BLIP models Image-to-Text • 0.5B • Updated Feb 3, 2025 • 488k • 1.48k Image-to-Text • Updated Feb 3, 2025 • 1.56M • 860 Visual Question Answering • 0.4B • Updated Feb 3, 2025 • 266k • 194 Visual Question Answering • Updated Feb 3, 2025 • 15.1k • 54
BLIP2 models A collection of all BLIP2 models! Image-Text-to-Text • 4B • Updated Feb 3, 2025 • 567k • 446 Image-Text-to-Text • 12B • Updated Feb 3, 2025 • 784 • 94 Image-Text-to-Text • 8B • Updated Feb 3, 2025 • 343 • 35 Image-Text-to-Text • 8B • Updated Feb 3, 2025 • 66.1k • 80
InstructBLIP models A collection that contains all InstructBLIP models! Image-Text-to-Text • 8B • Updated Feb 3, 2025 • 5.52k • 102 Image-Text-to-Text • 14B • Updated Feb 3, 2025 • 127 • 43 Image-Text-to-Text • 12B • Updated Feb 3, 2025 • 157 • 21 Image-Text-to-Text • 4B • Updated Feb 3, 2025 • 4.55k • 30
Moirai-R models Time Series Forecasting • Updated Jan 29 • 156k • 44 Time Series Forecasting • 0.9B • Updated Jan 21, 2025 • 118k • 19 Time Series Forecasting • 13.8M • Updated Jan 21, 2025 • 52.1k • 7 Time Series Forecasting • 91.4M • Updated Jan 21, 2025 • 14.8k • 8
SFR-Embedding Models A collection of embedding models Feature Extraction • 7B • Updated Feb 4, 2025 • 634k • 94 Feature Extraction • 7B • Updated Feb 4, 2025 • 9.38k • 299 Feature Extraction • 3B • Updated Jan 28, 2025 • 1.5k • 49 Feature Extraction • 0.4B • Updated Jan 24, 2025 • 15.3k • 35