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Kimi K3 Model Overview: 2.8T Parameters, MXFP4 Quantization, and What the Open Weights Mean for the Community

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14 days ago

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Community Articles

NEW Articles from Team or Enterprise organizations will get promoted to the main section.

Kimi K3 Model Overview: 2.8T Parameters, MXFP4 Quantization, and What the Open Weights Mean for the Community

The State of Simulation for Physical AI: An Overview

mDenseOn with the mLateOn: Open Multilingual, Long-Context, and Code Retrieval Models

VisionPsy-Nano: State-of-the-Art On-Device Vision-Language Models

Hugging Face on AMD Instinct MI455X: First Transformers Results

FLUX 3 Model Overview: Multimodal Flow Models for Image, Video, Audio, and Action Prediction

ECMWF's AI forecasting model is open source: now let's make it easy to run.

KV Caching Explained: Optimizing Transformer Inference Efficiency

Introducing Cosmos 3 Edge

Be Ready Before the Attack: A Practical Guide to Self-Hosting an Open Model for Cyber Defense

LettucePrevent - Real-Time Prevention of Factual Hallucinations in RAG

Uncensor any LLM with abliteration

Accelerating Qwen3.6 on Intel® Core™ Ultra Series 3 with DFlash

What building Shippy taught us about building agents

FeyNoBg: A SOTA Model For Background Removal

Efficient LLM Pretraining: Packed Sequences and Masked Attention

Code a simple RAG from scratch

AI, Physical AI, World Models, VLA, VLM, and Other Terms We Should Stop Mixing Together

Kimi K3, previewed: inside the first open 3T-class model

POCKET: a 35-billion-parameter model that runs on your iPhone — and on your PC with no GPU