Comparing INT4 and NVFP4 Palettes on Real Gradient Tensors
Four-bit training quantizes every number to one of 16 values. NVFP4's menu is {0, ±0.5, ±1, ±1.5, ±2, ±3, ±4, ±6} , with one scale factor per block…
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Deploying a QAT Checkpoint Your Serving Stack Can't Load: Gemma 4 E2B in Pure JAX on One TPU
Cloud TPU v6e-1 ( ct6e-standard-1t , one v6e chip, 32 GB HBM), Compute Engine flex-start, europe-west4-a. All timings below measured 2026-08-19 unle…
[Перевод] Qwen3.8-27B: лучший локальный LLM, который вы, вероятно, не сможете запустить
В этом месяце Alibaba выпустила две модели, и та, о которой все писали, оказалась не той, что мы ждали. Qwen3.8-Max — это API с 2,4 триллионами пара…
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.…
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 Q…
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 t…
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…