Feature Extraction
MLX
Safetensors
ministral3
apple-silicon
quantized
mixed-precision
axquant
axq
development
mistral3
MXFP4
embedding
sentence-similarity
4-bit precision
Instructions to use AutomatosX/AX-Nemotron-3-Embed-1B-MLX-AXQ-MXFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AutomatosX/AX-Nemotron-3-Embed-1B-MLX-AXQ-MXFP4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download AutomatosX/AX-Nemotron-3-Embed-1B-MLX-AXQ-MXFP4 --local-dir AX-Nemotron-3-Embed-1B-MLX-AXQ-MXFP4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download axquant_source_binding.json from AutomatosX/AX-Nemotron-3-Embed-1B-MLX-AXQ-MXFP4: direct link, hf CLI and curl.
- Browser
- Download file 679 Bytes
-
https://huggingface.co/AutomatosX/AX-Nemotron-3-Embed-1B-MLX-AXQ-MXFP4/resolve/main/axquant_source_binding.json
- Command line
-
hf download hf://AutomatosX/AX-Nemotron-3-Embed-1B-MLX-AXQ-MXFP4/axquant_source_binding.json
-
curl -L -o axquant_source_binding.json https://huggingface.co/AutomatosX/AX-Nemotron-3-Embed-1B-MLX-AXQ-MXFP4/resolve/main/axquant_source_binding.json
679 Bytes
| { | |
| "config_sha256": "56964141409866da7ce7d2d88b5b20c44558f5e916b318ad3abd2c694b2cb5f7", | |
| "created_at": "2026-10-04T02:08:42.403738Z", | |
| "index_sha256": "ff9507acb077cc9f84f3993e3b3556b2a022b8ff66ce3fc326909dfd4b550935", | |
| "members": [ | |
| { | |
| "path": "model.safetensors", | |
| "size_bytes": 2281852472 | |
| } | |
| ], | |
| "plan_sha256": "18d6d9ed0578d32e498d03d249dfdaceda57fb56ae4155423c6b43fc35444216", | |
| "schema_version": "axquant.source-plan-binding.v1", | |
| "source_model": { | |
| "architecture": "Ministral3Model", | |
| "format": "mlx", | |
| "local_path": null, | |
| "model_id": "nvidia/Nemotron-3-Embed-1B-BF16", | |
| "revision": "c0c9fea93ea424587517f2c59e20db9f1d6bf615" | |
| } | |
| } | |