gemma-4-e4b-it - awq_4bit

Quantized version of google/gemma-4-E4B-it made for a quantization benchmark (4 models x 8 techniques, evaluated with vLLM on BFCL, Energy-QA, hiring-bias and MedQA).

  • method: awq, about 4 bits, group size 128
  • library: gptqmodel 7.6.0
  • calibration samples: 512
  • size on disk: 10.074 GB

AWQ, loads in vLLM (vllm serve <repo>).

Evaluated as a text model (vLLM, thinking off). Same license as the base model; see the base model card.

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