mlx-community/dots.mocr-bf16
This model was converted to MLX format from rednote-hilab/dots.mocr
using mlx-vlm version 0.4.1.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/dots.mocr-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
- Downloads last month
- 21
Model size
3B params
Tensor type
BF16
·
Hardware compatibility
Log In to add your hardware
Quantized
Model tree for mlx-community/dots.mocr-bf16
Base model
rednote-hilab/dots.mocrEvaluation results
- Overall on allenai/olmOCR-bench source leaderboard
83.900 - Arxiv Math on allenai/olmOCR-bench source leaderboard
85.900 - Old Scans Math on allenai/olmOCR-bench source leaderboard
85.500 - Table Tests on allenai/olmOCR-bench source leaderboard
90.700 - Old Scans on allenai/olmOCR-bench source leaderboard
48.200 - Multi Column on allenai/olmOCR-bench source leaderboard
85.300 - Long Tiny Text on allenai/olmOCR-bench source leaderboard
81.600 - Headers Footers on allenai/olmOCR-bench source leaderboard
94.000 - Baseline on allenai/olmOCR-bench source leaderboard
99.700