Instructions to use hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-8bit 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-8bit 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-8bit") config = load_config("hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-8bit") # 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 params.json from hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-8bit: direct link, hf CLI and curl.
- Browser
- Download file 807 Bytes
-
https://huggingface.co/hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-8bit/resolve/main/params.json
- Command line
-
hf download hf://hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-8bit/params.json
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curl -L -o params.json https://huggingface.co/hehua2008/Mistral-Small-3.2-24B-Instruct-2506-abliterated-MLX-8bit/resolve/main/params.json
807 Bytes
| { | |
| "dim": 5120, | |
| "n_layers": 40, | |
| "head_dim": 128, | |
| "hidden_dim": 32768, | |
| "n_heads": 32, | |
| "n_kv_heads": 8, | |
| "rope_theta": 1000000000.0, | |
| "norm_eps": 1e-05, | |
| "vocab_size": 131072, | |
| "max_position_embeddings": 131072, | |
| "vision_encoder": { | |
| "hidden_size": 1024, | |
| "num_channels": 3, | |
| "max_image_size": 1540, | |
| "patch_size": 14, | |
| "rope_theta": 10000.0, | |
| "intermediate_size": 4096, | |
| "num_hidden_layers": 24, | |
| "num_attention_heads": 16, | |
| "adapter_bias": false, | |
| "mm_projector_id": "patch_merge", | |
| "spatial_merge_size": 2, | |
| "add_pre_mm_projector_layer_norm": true, | |
| "image_token_id": 10, | |
| "image_break_token_id": 12, | |
| "image_end_token_id": 13, | |
| "image_size": 1540 | |
| } | |
| } | |