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

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weights-and-biases

W&B: log ML experiments, sweeps, model registry, dashboards.

[MLOpsWeightsAndBiases

PoorRican

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evaluating-llms-harness

lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).

[EvaluationLMEvaluationHarness

PoorRican

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