Intern Large Models (@intern

Intern Large Models

108 posts

Intern Large Models

@intern_lm

Intern-series large models by Shanghai AI Laboratory.

Joined June 2023

Intern Large Models
@intern_lm
Jul 28
🔥Introducing Visual Pretraining (VP) 👀: a new, scalable pretraining paradigm for foundation models. 😉It enables models to learn directly from visual documents 📖 and outperforms text-only pretraining across backbones and benchmarks. 📈 Explore the paper and our most
Intern Large Models
@intern_lm
Jul 17
🚀Introducing Intern-S2-Preview-397B, our most capable multimodal foundation model for scientific intelligence and long-horizon agents.🔥 1⃣Delivers a step change in general reasoning, scientific problem solving, and agentic capabilities. 2⃣A new pre-training paradigm preserves
Intern Large Models
@intern_lm
May 15
🥳Introducing Intern-S2-Preview, an efficient 35B scientific multimodal foundation model. 1⃣Delivers performance comparable to the trillion-scale Intern-S1-Pro on core scientific tasks. 2⃣The first open-source model with material crystal structure generation capabilities and
Intern Large Models
@intern_lm
Mar 31
🔥Introducing Kernel-Smith, a framework for high-performance GPU kernel and operator generation. 1⃣Combines a stable evaluation-driven evolutionary agent with an evolution-oriented post-training recipe. 2⃣Outperforms Gemini-3.0-pro & Claude-4.6-opus on Kernel-Bench. 3⃣Optimized
Intern Large Models
@intern_lm
Mar 26
🔥Introducing #DataChef: an AI4AI framework that leverages reinforcement learning to automatically generate optimal data recipes for LLM adaptation. 🥳By exploring vast code spaces with an efficient proxy reward system, DataChef-32B matches the performance of top-tier models like
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