Feature Extraction
MLX
Safetensors
muse_glimmer
mlx-vlm
metaencoder
multimodal
embeddings
quantized
8-bit precision
Instructions to use edgefloor/meta-encoder-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use edgefloor/meta-encoder-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download edgefloor/meta-encoder-mlx-8bit --local-dir meta-encoder-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 285 Bytes
e5030dc | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"source": "facebook/meta-encoder",
"revision": "3d0df704aa5bf66d9c49da1393181f33e893e5f7",
"bits": 8,
"group_size": 64,
"mode": "affine",
"vision": "unchanged BF16",
"source_tensors": 1436,
"quantized_modules": 418,
"weight_bytes": 33440700416,
"mlx": "0.32.3"
}
|