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#moe - page 5 | AI Briefing

llama.cpp Adds SarvamMoE Support

·2026.05.10 03:00

llama.cpp Adds MiMo V2.5 Support

·2026.05.07 20:00

Zyphra Unveils Reasoning MoE 'ZAYA1-8B'

·2026.05.07 05:00

APEX MoE Quantized Models Expand to Over 30 Types

·2026.05.05 01:00

Qwen 35B MoE on an RTX 3090

·1·2026.05.04 07:00

Mac Mini M4 Pro 70 t/s

·2026.05.03 14:00

Qwen-Scope Official SAE Released

·2026.04.30 18:00

Qwen-Scope: Decoding Intelligence and Unlocking Potential

·2026.04.30 13:00

Reading Notes on the DeepSeek-V4 Paper - Roh Jeongseok

·2026.04.29 09:00

Poolside Unveils Laguna Series of Coding Models

·2026.04.29 01:00

Poolside Unveils Laguna XS.2

·2026.04.29 00:00

Direct Performance Comparison of MoE vs Dense Models

·2026.04.28 16:00

llama.cpp MMQ Optimization

·2026.04.25 23:00

OpenMythos: Is It a Publicly-Researched Reconstruction of the Claude Mythos Architecture Hypothesis, or Just Another AI Hype

·2026.04.25 02:00

Cohere MoE added to vLLM

·2026.04.25 01:00

DeepSeek-V4 Released

·2026.04.24 18:00

DeepSeek-V4 Series Unveiled

·2026.04.24 13:00

Scaling MoE During Training

·2026.04.24 07:00

Tencent Unveils Hy3-preview

·2026.04.23 23:00

Three Models Merged

·2026.04.23 08:00

3.6-27B: Dense vs MoE Comparison

·2026.04.23 04:00

Qwen3.6 35B 8GB Setup

·2026.04.21 18:00

Mixture of Experts Models See Greater Gains from Speculative Decoding

·2026.04.21 09:00

MoE rule fragility

·2026.04.21 00:00

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