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Nvidia Nemotron Speech
Nvidia Nemotron Cascade
GPT OSS + Steering
Google Gemma 3 - LiteRT Models
Nvidia Cosmos 2 - Cosmos-Reason2
Nvidia Cosmos 2 - Cosmos-Transfer2.5
NVIDIA Cosmos 2 - Cosmos-Predict2.5
Robotics
Smartphone
Nvidia Nemotron RL Datasets - NeMo Gym
Nvidia Nemotron Savety Datasets
Nvidia Nemotron RAG Datasets
Nvidia Nemotron VLM Datasets
Gemma 3N - Mobile multimordal Edition
Deep Thinking Models
Small Thinking Models
Small Coders
Self-Correcting Delta Transformer
YOLO
META - SAM
Cheep Coding Plan APIs
Tiny but STRONG
RLM - Neuro-Symbolic Architecture - Reasonig Traces
Nvidia Nemotron - Persona Datasets
Nvidia Nemotron - Post Training Datasets
Nvidia Nemotron - Reward Models
Nvidia Nemotron - Pre Traininng Datasets
Embeddings
Topological Transformer - Deepseek
Translation at the Edge
Deep Research
Qwen - Long Reasoning
PP-StructureV3
OCR
Circuit Sparsity
Iquenst Loopcoder
Text to Motion
Automatic Speech Recognition
TTS Models
Mobile App Engine Models
Audio Segmenting - Meta SAM 3 Audio
Hybrid Attention Models
Datasets Post Training Nemotron V3
Datasets Pretraining - Nemotron V3
All OPEN Models
Byte Level Models
Image to 3D
Video Analysis
Deep Research Specialized Models
Diffusion Language Models
IBM Granite
Video Generation
Small OCR
Light Weight Reasoning Models
Graphics
Hierarchical Reinforcement Learning
VL-JEPA
Bread&Butter
Google Gemma Scope 2 - Neuronpedia
Haddock Custom Sparse Autodecoders
Google Gemma - Quantized
Nemo-Gym
Reward Models
Trained
T5 Encoder/Decoder Architecture
Auto Decoders
Mamba/Transformers Combo Hybride
EDGE - Funktion Calling

Google Gemma - Quantized

Quantized Gemma 3 models: QAT for efficient deployment. Gemma-3-27B-IT Q4. Low memory, fast inference. Edge & production-ready LLMs.

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