GTA1 is a GUI grounding model trained based on GRPO reinforcement learning, specifically designed for graphical user interface automation operations. Compared with methods that rely on long chains of thought reasoning, GRPO directly incentivizes actionable and well-founded responses, demonstrating excellent grounding performance in multiple benchmark tests.

MultimodalTransformersEnglish

CoDA is a code generation language model based on diffusion models developed by Salesforce AI Research. It has the ability to understand bidirectional context and is specifically designed for powerful code generation and completion tasks. This model only has 1.7 billion parameters and achieves excellent code generation performance while maintaining low computational requirements.

Natural Language ProcessingTransformersEnglish

GTA1 is a state-of-the-art GUI grounding model trained based on reinforcement learning (GRPO), specifically designed for graphical user interface automation tasks. Different from methods that rely on long thought-chain reasoning, GRPO directly incentivizes actionable and well-founded responses, demonstrating excellent grounding performance and agent performance on multiple challenging datasets.

MultimodalTransformersEnglish

Moirai 2.0 is a decoder-only general time series prediction Transformer model that has been pre-trained on multiple high-quality datasets, including GIFT-Eval, a subset of the Chronos dataset, synthetic time series, and Salesforce's internal operational data. Compared with the first version, significant improvements have been made in aspects such as the loss function, prediction method, and data processing.

Scientific ComputingSafetensors

A code processing model fine-tuned based on Salesforce/codet5-base, focusing on Python code-related tasks

Natural Language ProcessingTransformers

xGen-small is an enterprise-grade compact language model that achieves long-context performance with predictable low costs through domain-focused data curation, scalable pre-training, length extension, and reinforcement learning fine-tuning.

Natural Language ProcessingTransformersEnglish

E1-Math-1.5B is a language model fine-tuned based on DeepSeek-R1-Distilled-Qwen-1.5B, supporting elastic reasoning and the GRPO method, suitable for budget-constrained deduction scenarios.

Natural Language ProcessingTransformers

An 8B-parameter Large Action Model (LAM) developed by Salesforce, specializing in transforming user intent into executable actions, with outstanding performance in multi-turn dialogues and tool usage.

Natural Language ProcessingGgufEnglish

xLAM-2 is a series of large action models developed by Salesforce, focusing on multi-turn dialogue and function calling capabilities, serving as the core component of AI agents.

Natural Language ProcessingTransformersEnglish

A fine-tuned vision-language model based on Salesforce/blip2-opt-2.7b for visual question answering tasks

MultimodalTransformers

Salesforce's 800M parameter Llama-xLAM-2 model quantized version, specialized in text generation tasks

Natural Language ProcessingGguf

Llama-xLAM-2-70b-fc-r is a large language model released by Salesforce, based on the Llama 2 architecture with 70 billion parameters.

Natural Language ProcessingGguf

Fine-tuned based on the Salesforce BLIP basic model, it is an AI model specifically designed to generate descriptive text for images related to street infrastructure and urban environments.

MultimodalPytorchEnglish

xLAM-2 is a large action model built on an advanced data synthesis and training pipeline. It excels in multi-round dialogue and tool usage, and can transform user intentions into executable actions.

Natural Language ProcessingTransformersEnglish

xLAM-2-3b-fc-r is a large action model with 3B parameters launched by Salesforce, focusing on transforming user intentions into executable actions and performing excellently in multi-round dialogue and tool usage.

Natural Language ProcessingTransformersEnglish

The xLAM-2 series are Large Action Models (LAMs) built with advanced data synthesis and training pipelines, specializing in multi-turn conversations and tool usage, demonstrating exceptional performance in function calling and agent tasks.

Natural Language ProcessingTransformersEnglish

xLAM-2 is Salesforce's next-generation large action model, focusing on multi-turn dialogue and function calling capabilities, capable of translating user intent into executable actions, serving as the core component of AI agents.

Natural Language ProcessingTransformersEnglish

The xLAM-2 series is a large-scale action model trained on the APIGen-MT framework, focusing on multi-round conversations and function calling capabilities, suitable for AI agent development.

Natural Language ProcessingTransformersEnglish

xLAM-2 is a Large Action Model (LAM) series developed by SalesforceAIResearch, focusing on transforming user intent into executable actions to enhance AI agent decision-making capabilities.

Natural Language ProcessingTransformersEnglish

A code processing model fine-tuned based on Salesforce/codet5-base, specializing in Python 3.6 statement analysis tasks

Natural Language ProcessingTransformers