MSD draft checkpoint for Qwen2.5-VL-7B-Instruct
This repository contains the MSD draft-model weights and configuration. Use it with the corresponding target model and the MSD implementation.
- Target model: Qwen/Qwen2.5-VL-7B-Instruct
- Evaluation adapter:
qwen2_vl_msd - Draft visual compression: KMeans, retaining 32 visual tokens by default. The target model retains the complete visual input.
Usage
Install the packages from the MSD repository, then run:
accelerate launch --num_processes=1 -m lmms_eval \
--model qwen2_vl_msd \
--model_args pretrained=Qwen/Qwen2.5-VL-7B-Instruct \
--msd_model_path lucylyn/MSD-Qwen2.5VL-7B-Instruct \
--tasks chartqa --batch_size 1 --limit 100 \
--gen_kwargs temperature=0,max_new_tokens=512 \
--use_msd
Files: config.json and pytorch_model.bin.
This is a draft checkpoint to pair with the target model.
- Downloads last month
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for lucylyn/MSD-Qwen2.5VL-7B-Instruct
Base model
Qwen/Qwen2.5-VL-7B-Instruct