Issue 2026-11-01 · Industry · 开源 · 研究
Developer builds 8M-parameter LLM lab, asks about sharing
A developer built and trained an ~8M-parameter LLM from scratch in PyTorch as a lab for implementing research-paper ideas. Training ran 60,000 steps; next steps are KV caching, PagedAttention and Orca. He asked whether the community welcomes posts about these experiment blogs.
Read original ↗Topics:PyTorch
- Developer releases manual transformer autograd in PyTorch
- Practical notes for GPU kernel dev setup
- Deepity releases C++/CUDA predictive coding library, edges JAX baseline on MNIST
- Raschka releases from-scratch reasoning model video course
- Developer proposes speculative decoding using 2-bit draft plus RAM residual