metadata
library_name: transformers
tags:
- vision-language
- document-understanding
- boundingdocs
- bitsandbytes
- 8-bit
CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8
Source model: /content/dce_checkpoints/gaycor/base_glm_ocr_unquantized
Quantization: bitsandbytes 8-bit.
Model kind: gaycor_tit GLM-OCR LoRA fine-tuned checkpoint-8000
This repository stores a PEFT adapter plus quantization metadata. Load the base model with the included BitsAndBytesConfig and then apply the adapter.
The accompanying notebooks evaluate with the same branch metrics used before quantization:
ANLS, spatial precision/recall/F1, ANLS * Spatial F1, and bbox coverage. For the Qwen distilled model they also report value exact/contains match.