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Regarding Prollyferation: Followup to "People Keep Inventing Prolly Trees"

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Show HN: Unlearning Comparator, a visual tool to compare machine unlearning

tinymcp: Let LLMs control embedded devices via the Model Context Protocol

I extracted the safety filters from Apple Intelligence models

Portability of Tar Features

Overclocking LLM Reasoning: Monitoring and Controlling LLM Thinking Path Lengths

We fit 50+ LLMs on 2 GPUs — cold starts under 2s. Here’s how.

[D] We fit 50+ LLMs on 2 GPUs — here’s how we avoided cold starts

Need help with AI agent with local llm.

Simplifying Token Management for AI Models in Production

[D] Consistently Low Accuracy Despite Preprocessing — What Am I Missing?

You can run Qwen3-30B-A3B on a 16GB RAM CPU-only PC!

I just realized Qwen3-30B-A3B is all I need for local LLM

Qwen3 Published 30 seconds ago (Model Weights Available)

Qwen3 Collection on modelscope!

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

microsoft

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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modelscope

ModelScope: bring the notion of Model-as-a-Service to life.