Image-Text-to-Text
Transformers
PyTorch
English
doubutsu_next
conversational
custom_code
Inference Endpoints
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NOTE: This model is not meant to be used alone, you need to either finetune it with this notebook or use an existing adapter.

doubutsu-2b-pt-756

doubutsu is a family of smol VLMs meant to be finetuned for your own use-case.

Built by @qtnx_ and @yeswondwerr

Usage

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image

model_id = "qresearch/doubutsu-2b-pt-756"
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    trust_remote_code=True,
    torch_dtype=torch.float16,
).to("cuda")

tokenizer = AutoTokenizer.from_pretrained(
    model_id,
    use_fast=True,
)

model.load_adapter("qresearch/doubutsu-2b-lora-756-docci")

image = Image.open("IMAGE")

print(
    model.answer_question(
        image, "Describe the image", tokenizer, max_new_tokens=128, temperature=0.1
    ),
)

these models require smaller temperatures. We recommend to use a temperature of 0.1-0.3.

Evals

TBD

Acknowledgements

  • Liu et al. : LLaVA
  • Moon et al. : AnyMAL
  • vikhyatk : moondream codebase
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