·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning6h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks6h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts6h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning6h◆FrontierChallenge: Evaluating Scientific Workflow Completion6h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier6h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising6h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic6h◆Omni Interaction Agent Technical Report6h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification6h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability6h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization6h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding6h◆Tracing Computation Density in LLMs6h◆Cultural Binding Heads in Language Models6h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training6h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models6h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning6h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection6h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation6h◆Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning6h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks6h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts6h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning6h◆FrontierChallenge: Evaluating Scientific Workflow Completion6h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier6h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising6h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic6h◆Omni Interaction Agent Technical Report6h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification6h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability6h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization6h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding6h◆Tracing Computation Density in LLMs6h◆Cultural Binding Heads in Language Models6h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training6h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models6h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning6h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection6h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation6h◆
DataBubble·

Model Detail

nex-agi logo

Nex-N2.5-mini

▲ 122100.0%
Provider: nex-agiCategory: llmPipeline: text-generation
DB Score
71.4
Downloads
2K
Likes
667
Day
+122100.0%
Week
+0.0%
Month
+0.0%
Overview

Nex-N2.5-mini is a large language model with 17.6B parameters released by nex-agi. The model is registered under the text-generation pipeline tag on Hugging Face, and supports text+image->text inputs, distributed under the permissive apache-2.0 license.

Technical

Nex-N2.5-mini ships with 17.6B parameters. Total weight footprint is approximately 35.1 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of Nex-N2.5-mini have moved +122100.0% over the past 24 hours. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

Nex-N2.5-mini is best fit for general-purpose chat and instruction-following workloads, and long-context tasks such as full-codebase analysis or book-length summarization (262K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Model Info
Licenseapache-2.0
Modalitytext+image->text
Related Models
nex-agi logo
Nex-N2-mini
nex-agi · 11K downloads
nex-agi logo
Nex-N2-Pro
nex-agi · 8K downloads
sentence-transformers logo
paraphrase-multilingual-MiniLM-L12-v2
SBERT · 48.6M downloads
google-bert logo
bert-base-uncased
google-bert · 47.2M downloads
HomeModelsNews