pytorch-fsdp

Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2

[DistributedTrainingPyTorchFSDP

PoorRican

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llama-cpp

llama.cpp local GGUF inference + HF Hub model discovery.

[llama.cppGGUFQuantizationHugging

PoorRican

0

gguf-quantization

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

[GGUFQuantizationllama.cppCPU

PoorRican

0