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---
license: apache-2.0
datasets:
- liuhaotian/LLaVA-CC3M-Pretrain-595K
pipeline_tag: image-text-to-text
language:
- en
---
> [!IMPORTANT]
> NOTE: This model is not meant to be used alone, you need to either finetune it with this [notebook](https://github.com/qrsch/doubutsu/blob/main/notebooks/finetuning_base.ipynb) or use an existing adapter.
# doubutsu-2b-pt-378
`doubutsu` is a family of smol VLMs meant to be finetuned for your own use-case.
Built by [@qtnx_](https://x.com/qtnx_) and [@yeswondwerr](https://x.com/yeswondwerr)
## Usage
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image
model_id = "qresearch/doubutsu-2b-pt-378"
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-378-docci")
image = Image.open("IMAGE")
print(
model.answer_question(
image, "Describe the image", tokenizer, max_new_tokens=128, temperature=0.1
),
)
```
> [!TIP]
> these models require smaller temperatures. We recommend to use a temperature of 0.1-0.3.
## Evals
TBD
## Acknowledgements
- Liu et al. : [LLaVA](https://arxiv.org/abs/2304.08485)
- Moon et al. : [AnyMAL](https://arxiv.org/abs/2309.16058)
- vikhyatk : moondream codebase
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