Instructions to use hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-4bit 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("hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-4bit") config = load_config("hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-4bit") # 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 Settings
- LM Studio
- Atomic Chat
Download tokenizer_config.json from hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-4bit: direct link, hf CLI and curl.
- Browser
- Download file 436 Bytes
-
https://huggingface.co/hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-4bit/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-4bit/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-4bit/resolve/main/tokenizer_config.json
436 Bytes
| { | |
| "add_prefix_space": null, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "is_local": true, | |
| "legacy": true, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "processor_class": "Mistral3Processor", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |