An int4 (W4A16) AWQ quantization of infly/Infinity-Parser2-Flash, made to run on NVIDIA A100 / sm80, where the original FP8 path is unsupported. ~4.2 GB bf16 → ~2.9 GB.

AWQ via llm-compressor, routed experts only (W4A16). Attention, GDN/linear-attention, shared expert, vision tower, and lm_head are kept in bf16. Calibrated on a few hundred diverse document + general-vision samples.

vLLM fuses some bf16 layers before consulting the ignore list, which can otherwise yield all-! output. Fix: the saved config.json quantization_config.ignore uses broad regexes matching the fused names. Already applied here.

Near-lossless on the cleanly-comparable axes. (MMBench omitted to avoid a circular-vs-vanilla scoring mismatch.)

Pass chat_template_kwargs={"enable_thinking": false} in requests, or answers land in the reasoning channel.

Quantized by @spectator2026. Original model © infly, Apache-2.0.