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China Al GLM-5.3 and Qwen-3.8 Open Weights model are out and Sam is crying again

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Key Takeaway China Al GLM-5.3 and Qwen-3.8 Open Weights model are out and Sam is crying again
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China Al GLM-5.3 and Qwen-3.8 Open Weights model are out and Sam is crying again

China Al GLM-5.3 and Qwen-3.8 Open Weights model are out and Sam is crying again

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What is quantization-aware distillation?

QAD uses the original full-precision model (teacher) to teach the quantized model (student). First, create a quantized model by running PTQ on the full-precision model. Then distill the frozen BF16 model into the quantized model using a KL divergence loss comparing the teacher’s and student’s logits. Figure 1 shows the two-stage QAD process used to build the Nemotron 3.5 Lightning NVFP4 checkpoint. The full-precision BF16 model serves as the frozen teacher and is also the starting point for Stage 1, a PTQ pass that quantizes weights to W4A16 to produce the quantized student. In Stage 2, the st

Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer | NVIDIA Technical Blog
What are the benefits?

I demonstrate above using blocks, but it works best if you give your body more instability. To start with, use just your bodyweight, then add weights when you feel comfortable. As you get stronger and your balance improves, add more load, or try creating extra instability by balancing on one leg, called a single-leg deadlift. Deadlifts strengthen your posterior chain, including your lower back, glutes and hamstrings, but also your core, hips, arms, and, depending on the type of deadlift, your quads. Lifting heavy will also develop your brute strength and power, especially when using a barbell

I'm a personal trainer — if you want to build strength and balance after 60, start with this dumbbell exercise
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