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Tag: Mixture of Experts

Kimi K2.7-Code: Moonshot AI open-source 1 trillion parameter mixture-of-experts coding model visualization
News

Kimi K2.7-Code: Open-Source 1T Coding Agent, 30% Fewer Thinking Tokens

Moonshot’s Kimi K2.7-Code improves on K2.6 benchmarks and cuts thinking tokens 30%. Open weights, $0.75/M ...
By ByteBot
2 days ago
Kimi K2.7 Code MoE architecture diagram showing interconnected neural network nodes in blue and white
AI & Development

Kimi K2.7 Code: Open-Source Coding Model Cuts Reasoning Tokens 30%

Moonshot AI's Kimi K2.7 Code is a 1T-parameter open-source coding model that reduces reasoning tokens ...
By ByteBot
June 22, 2026
Mellum2 by JetBrains - open-source 12B Mixture-of-Experts coding model with neural network visualization on dark blue background
AI & Development

Mellum2: JetBrains Open-Sources a 12B MoE Coding Model

JetBrains released Mellum2, a 12B MoE coding model under Apache 2.0. Run it air-gapped, self-hosted, ...
By ByteBot
June 17, 2026
Abstract visualization of Mixture-of-Experts neural network architecture with glowing blue nodes and white connections on dark navy background, representing Cohere North Mini Code
News

Cohere North Mini Code: 30B Open-Source Agent That Beats 120B Models

Cohere’s open-source North Mini Code scores within 1% of Claude Opus 4.6 on SWE-Bench, runs ...
By ByteBot
June 15, 2026
Data visualization chart comparing active parameter counts for on-device AI models including Liquid AI LFM2.5 at 1.5B active parameters
News

Liquid AI LFM2.5: On-Device MoE With 1.5B Active Params

Liquid AI released LFM2.5-8B-A1B, an on-device MoE model with 8.3B parameters but only 1.5B active ...
By ByteBot
May 30, 2026
Split-screen comparison showing Granite 4.1 8B dense model achieving parity with 32B Mixture-of-Experts model through better training methodology
AI & Development

Granite 4.1: IBM 8B Model Beats 32B Through Training Quality

IBM's Granite 4.1 8B model matches its 32B MoE performance through better training methodology. Released ...
By ByteBot
April 30, 2026
Machine Learning

DeepSeek R1’s Pure RL Training: AI Reasoning Without Human Labels

DeepSeek just proved billion-dollar annotation budgets aren’t mandatory for frontier AI. Their R1 model achieves ...
By ByteBot
January 12, 2026
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