Azaz666/Ovis2-4B-AWQ-INT4

AIDC-AI__Ovis2-4B__awq_w4_complete

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

Quantization Details

• Method: AWQ
• Bits: 4
• Base model: AIDC-AI/Ovis2-4B
• Group size: 128
• Quantized portion: LLM backbone (Qwen2ForCausalLM inside Ovis2)
• Vision tokenizer + visual embedding: FP16 (unchanged)
• Loading: AutoModelForCausalLM.from_pretrained(..., trust_remote_code=True)

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.