Update README.md

README.md

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 ---
 license: mit
+library_name: transformers
+tags:
+  - florence-2
+  - vision-language
+  - image-captioning
+  - ocr
+  - object-detection
+  - onnx
+  - int8
+  - quantized
+base_model: microsoft/Florence-2-base-ft
+pipeline_tag: image-to-text
 ---
+
+# Florence-2 base-ft — ONNX (INT8 dynamic-quantized)
+
+ONNX export of [microsoft/Florence-2-base-ft](https://huggingface.co/microsoft/Florence-2-base-ft) with post-export INT8 dynamic quantization applied to all four sub-models. Roughly half the disk and inference RAM of the fp16 variant.
+
+Converted artifact. Training credit: Microsoft Research.
+
+## What this repo contains
+
+```
+config.json
+generation_config.json
+preprocessor_config.json
+tokenizer.json
+tokenizer_config.json
+vocab.json
+merges.txt
+special_tokens_map.json
+
+vision_encoder_quantized.onnx
+encoder_model_quantized.onnx
+decoder_model_quantized.onnx
+embed_tokens_quantized.onnx
+```
+
+Total: ~270 MB. All four ONNX files are required at inference.
+
+## How it was produced
+
+1. Export to fp32 ONNX:
+   ```
+   optimum-cli export onnx \
+       --model microsoft/Florence-2-base-ft \
+       --task image-to-text \
+       --trust-remote-code \
+       <fp32-output>
+   ```
+2. Apply dynamic INT8 quantization to each `.onnx` file using `onnxruntime.quantization.quantize_dynamic` (weight-only, per-channel).
+
+Toolchain: `optimum 1.24.0`, `transformers 4.45.2`, `onnxruntime 1.19.x`.
+
+## When to pick quantized vs fp16
+
+This repo (**INT8**): CPU, NPU (OpenVINO EP), mobile, browser (transformers.js). ~270 MB.
+[`Heliosoph/florence-2-base-ft-fp16-onnx`](https://huggingface.co/Heliosoph/florence-2-base-ft-fp16-onnx): GPU, maximum quality. ~520 MB.
+
+**Known degradation:** Dense OCR over small text loses noticeable accuracy at INT8. Captioning and object detection are largely unaffected. Test on your workload before committing.
+
+## Task prompts
+
+Identical to the fp16 variant — see [`Heliosoph/florence-2-base-ft-fp16-onnx`](https://huggingface.co/Heliosoph/florence-2-base-ft-fp16-onnx) for the full list.
+
+## License
+
+**MIT** — same as upstream. `LICENSE` file included.