Ring is a reasoning MoE LLM provided and open-sourced by InclusionAI, derived from Ling.
☆109Aug 5, 2025Updated 10 months ago
Alternatives and similar repositories for Ring
Users that are interested in Ring are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Ling is a MoE LLM provided and open-sourced by InclusionAI.☆258May 14, 2025Updated last year
- Ring-V2 is a reasoning MoE LLM provided and open-sourced by InclusionAI.☆99Oct 23, 2025Updated 7 months ago
- Ling-V2 is a MoE LLM provided and open-sourced by InclusionAI.☆271Oct 4, 2025Updated 8 months ago
- The code for paper "EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning"☆39Oct 1, 2025Updated 8 months ago
- Mixture-of-Basis-Experts for Compressing MoE-based LLMs☆34Dec 24, 2025Updated 5 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [CVPR 2025] PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models☆54Jun 12, 2025Updated 11 months ago
- [ICML 2025] Adaptive Self-improvement LLM Agentic System for ML Library Development☆17Jan 6, 2026Updated 5 months ago
- ☆75Jun 10, 2025Updated last year
- Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models☆50Sep 19, 2025Updated 8 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆43Dec 29, 2025Updated 5 months ago
- Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"☆28Oct 14, 2025Updated 7 months ago
- ☆16Jul 23, 2024Updated last year
- A Recipe for Building LLM Reasoners to Solve Complex Instructions☆32Oct 9, 2025Updated 8 months ago
- 一个开源数学大模型项目，旨在探索大模型是否具有数学创造能力，以及大模 型在前沿数学研究中的潜在能力。☆20Mar 19, 2026Updated 2 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Official implementation of TBA for async LLM post-training.☆31Nov 5, 2025Updated 7 months ago
- General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]☆226Nov 27, 2025Updated 6 months ago
- DeepSeek-V3.2-Exp DSA Warmup Lightning Indexer training operator based on tilelang☆44Nov 19, 2025Updated 6 months ago
- My attempt to improve the speed of the newton schulz algorithm, starting from the dion implementation.☆38Apr 30, 2026Updated last month
- [ICLR 2025] IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model☆37Nov 27, 2024Updated last year
- ☆20Nov 15, 2024Updated last year
- ☆70Jul 8, 2025Updated 11 months ago
- ☆31Sep 12, 2025Updated 8 months ago
- The official implementation of Preference Data Reward-Augmentation.☆18May 1, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆102Feb 20, 2025Updated last year
- Emergent Hierarchical Reasoning in LLMs/VLMs through Reinforcement Learning [ICLR26]☆65Apr 11, 2026Updated last month
- On Policy Distillation Build on top of Verl☆69May 25, 2026Updated 2 weeks ago
- [CVPR 2026 Highlight] Official implementation of Log-linear Sparse Attention (LLSA).☆78May 1, 2026Updated last month
- ☆118Sep 13, 2025Updated 8 months ago
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆251Jun 15, 2025Updated 11 months ago
- Triton implement of bi-directional (non-causal) linear attention☆76Mar 1, 2026Updated 3 months ago
- Image Tokenizer Needs Post-Training☆24Oct 4, 2025Updated 8 months ago
- ☆25Apr 10, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment☆17Dec 19, 2024Updated last year
- ☆18Mar 2, 2026Updated 3 months ago
- ☆16Apr 28, 2023Updated 3 years ago
- ☆248Nov 19, 2025Updated 6 months ago
- ☆14Apr 25, 2025Updated last year
- Official implementation for our paper: Rethinking Video Tokenization: A Conditioned Diffusion-based Approach☆15Apr 2, 2025Updated last year
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆18Nov 14, 2023Updated 2 years ago