Kimi K3 Model Overview: 2.8T Parameters, MXFP4 Quantization, and What the Open Weights Mean for the Community
ResterChed
• • 184Community Blog & Articles
Community Articles
view all
open-source-collabnlp
Porting fairseq wmt19 translation system to transformers
2
November 3, 2020 
open-source-collabnlp
Hyperparameter Search with Transformers and Ray Tune
4
November 2, 2020 
researchnlp
Transformer-based Encoder-Decoder Models
24
October 10, 2020 
researchnlp
Block Sparse Matrices for Smaller and Faster Language Models
September 10, 2020
researchnlp
The Reformer - Pushing the limits of language modeling
3
July 3, 2020 
guidenlp
HotHow to generate text: using different decoding methods for language generation with Transformers
303
March 1, 2020 
guidenlp
How to train a new language model from scratch using Transformers and Tokenizers
64
February 14, 2020 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
ResterChed
• • 184The State of Simulation for Physical AI: An Overview
nvidia
• • 66Hugging Face on AMD Instinct MI455X: First Transformers Results
badaoui
• • 15POCKET: a 35-billion-parameter model that runs on your iPhone — and on your PC with no GPU
FINAL-Bench
• • 12Introducing Cosmos 3 Edge
nvidia
• • 39FLUX 3 Model Overview: Multimodal Flow Models for Image, Video, Audio, and Action Prediction
ResterChed
• • 8VisionPsy-Nano: State-of-the-Art On-Device Vision-Language Models
qvac
• • 8KV Caching Explained: Optimizing Transformer Inference Efficiency
not-lain
• • 385Be Ready Before the Attack: A Practical Guide to Self-Hosting an Open Model for Cyber Defense
jeffboudier
• • 19ECMWF's AI forecasting model is open source: now let's make it easy to run.
hugging-science
• • 7The influx of specialist models on the Open SLM Leaderboard
Banaxi-Tech
• • 7FeyNoBg: A SOTA Model For Background Removal
feyninc
• • 5LettucePrevent - Real-Time Prevention of Factual Hallucinations in RAG
lebe1
• • 5Uncensor any LLM with abliteration
mlabonne
• • 883Code a simple RAG from scratch
ngxson
• • 369Kimi K3, previewed: inside the first open 3T-class model
embedl
• • 5Efficient LLM Pretraining: Packed Sequences and Masked Attention
sirluk
• • 74AI, Physical AI, World Models, VLA, VLM, and Other Terms We Should Stop Mixing Together
barakor
• • 5What building Shippy taught us about building agents
allenai
• • 17Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers
nvidia
• • 80