Cerebras REAP Collection Sparse MoE models compressed using REAP (Router-weighted Expert Activation Pruning) method • 26 items • Updated 5 days ago • 98
Gemma 3 QAT Collection Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory • 15 items • Updated Jul 10, 2025 • 216
Molmo Collection Artifacts for open multimodal language models. • 5 items • Updated Dec 23, 2025 • 309
Qwen2.5 Collection Qwen2.5 language models, including pretrained and instruction-tuned models of 7 sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B. • 46 items • Updated Dec 31, 2025 • 685
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models Paper • 2407.11062 • Published Jul 10, 2024 • 10