Pinned Loading
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sft-crm-agent
sft-crm-agent PublicLoRA SFT of Qwen2.5-1.5B (trainer written from scratch): parts-broker inbox message -> CRM record + rule-checked draft reply. 97.0% vs 84.8% for gpt-oss-20b 6-shot on held-out test.
Python
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gpt-cpp-cuda
gpt-cpp-cuda PublicGPT training and inference engine written from scratch in C++/CUDA. Hand-written forward and backward kernels, cuBLAS matmuls, no PyTorch or JAX.
Cuda
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ml-jax-pytorch
ml-jax-pytorch PublicCanonical models, whittled down: baseline → optimized → benchmark. Rung 1: MNIST CNN + int8 quantization.
Python
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rl-lisp-python
rl-lisp-python PublicGRPO from scratch in JAX on one 8GB GPU: teaching a 0.5B code model to write Python as if it were Lisp. No trl, no peft, no vllm.
Python
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