Image-Text-to-Text
MLX
Safetensors
English
idefics3
mlx-vlm
quantized
8-bit precision
conversational
Instructions to use mlx-community/CodeFormulaV2-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeFormulaV2-mlx-q8 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/CodeFormulaV2-mlx-q8") config = load_config("mlx-community/CodeFormulaV2-mlx-q8") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 746 Bytes
b615d55 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|end_of_text|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<end_of_utterance>",
"errors": "replace",
"extra_special_tokens": [
"<fake_token_around_image>",
"<image>",
"<end_of_utterance>"
],
"is_local": true,
"local_files_only": false,
"max_length": 8192,
"model_max_length": 8192,
"pad_to_multiple_of": null,
"pad_token": "<|pad|>",
"pad_token_type_id": 0,
"padding": "longest",
"padding_side": "left",
"processor_class": "Idefics3Processor",
"stride": 0,
"tokenizer_class": "GPT2Tokenizer",
"truncation": true,
"truncation_side": "right",
"truncation_strategy": "longest_first",
"unk_token": "<|unk|>"
}
|