AIDC-AI__Ovis2-4B__torchao_w4a8

This is a torchao W4A8 (4-bit) quantized version of AIDC-AI/Ovis2-4B.

Quantization Details

  • Method: torchao W4A8
  • Bits: 4
  • Base model: AIDC-AI/Ovis2-4B
  • Weight bits: 4
  • Activation bits: 8 (dynamic)
  • Group size: 128
  • Backend: torchao (Int8DynamicActivationInt4Weight)

Usage

from transformers import AutoProcessor, AutoModelForImageTextToText
import torch

model = AutoModelForImageTextToText.from_pretrained(
    "{REPO_ID}",
    torch_dtype=torch.float16,
    device_map="auto",
    trust_remote_code=True,
)
processor = AutoProcessor.from_pretrained("{REPO_ID}", trust_remote_code=True)

Replace {REPO_ID} with the repo ID of this model.

Original Model

See AIDC-AI/Ovis2-4B for the original FP16 model.

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