Quantizing MedGemma to INT4 (GPTQ/W4A16): Everything That Broke Along the Way
Quantized Google's MedGemma-1.5-4B (a medical vision-language model) to INT4 (W4A16) via llm-compressor 's GPTQModifier, for self-hosted deployment. 8…
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LLM Quantization Levels Compared: Q4_K_M vs Q8_0 vs FP16 [2026]
Originally published at kunalganglani.com — read it there for inline code, hero image, and live links. LLM Quantization Levels Compared: Q4_K_M vs Q8_…
Quantization formats compared: GGUF vs GPTQ vs AWQ vs NF4
Quantization formats compared: GGUF vs GPTQ vs AWQ vs NF4 You just finished fine-tuning a 7B parameter model. The raw FP16 weights are 14 GB. Your tar…
Quantizing Gemma 4 on Mac with llama.cpp
requirements hugging face account https://huggingface.co/ Setup llama.cpp git clone https://github.com/ggml-org/llama.cpp.git cmake -S llama.cpp -B ll…
The Best Result This Week Was a Failed Prediction — Phase-3a Doesn't Transfer
Part 3 of the quantization series. Yesterday I tested whether Part 1's drift-inversion intervention generalizes beyond granite. I wrote down a falsifi…