---
license: apache-2.0
base_model: infly/Infinity-Parser2-Flash
pipeline_tag: image-text-to-text
tags: [ocr, document-parsing, vlm, awq, int4, w4a16, quantized, vllm]
---

# Infinity-Parser2-Flash — AWQ W4A16 (int4)

An int4 (W4A16) AWQ quantization of [`infly/Infinity-Parser2-Flash`](https://huggingface.co/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**.

## Method
AWQ via [llm-compressor](https://github.com/vllm-project/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.

## Serving note (important)
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.

## Quality (VLMEvalKit, AI-judged reproduction)
| Benchmark | Published bf16 | This int4 |
|---|---|---|
| MMStar | 57.1 | 54.8 |
| OCRBench | 81.6 | 85.0 |
| DocVQA (val) | 93.2 | 93.5 |

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

## Usage (vLLM)
```
vllm serve spectator2026/Infinity-Parser2-Flash-AWQ-W4A16 --dtype bfloat16 --trust-remote-code --reasoning-parser qwen3
```
Pass `chat_template_kwargs={"enable_thinking": false}` in requests, or answers land in the reasoning channel.

---
Quantized by [@spectator2026](https://huggingface.co/spectator2026). Original model © infly, Apache-2.0.