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LFM2-VL-450M-torchao-W4A8 – AI Model by Azaz666 | AlphaNeural AI

You can deploy this model and start earning money today!

Azaz666/
LFM2-VL-450M-torchao-W4A8

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vision-language-model

LiquidAI/LFM2-VL-450M

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LiquidAILFM2-VL-450Mtorchao_w4a8

This is a torchao W4A8 (4-bit) quantized version of LiquidAI/LFM2-VL-450M.

Quantization Details

Method: torchao W4A8
Bits: 4
Base model: LiquidAI/LFM2-VL-450M
Weight bits: 4
Activation bits: 8 (dynamic)
Group size: 128
Backend: torchao (Int8DynamicActivationInt4Weight)

Usage

python

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 LiquidAI/LFM2-VL-450M for the original FP16 model.