Sentence Similarity
MLX
Safetensors
ministral3
apple-silicon
embeddings
text-embeddings
feature-extraction
retrieval
semantic-search
rag
mteb
nemotron
quantized
4-bit precision
information-retrieval
dense-retrieval
vector-search
matryoshka
arxiv:2502.13595
Eval Results (legacy)
Instructions to use shadowrock-io/Nemotron-3-Embed-8B-Community-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use shadowrock-io/Nemotron-3-Embed-8B-Community-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download shadowrock-io/Nemotron-3-Embed-8B-Community-MLX-4bit --local-dir Nemotron-3-Embed-8B-Community-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from shadowrock-io/Nemotron-3-Embed-8B-Community-MLX-4bit: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/shadowrock-io/Nemotron-3-Embed-8B-Community-MLX-4bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://shadowrock-io/Nemotron-3-Embed-8B-Community-MLX-4bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/shadowrock-io/Nemotron-3-Embed-8B-Community-MLX-4bit/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 2b52da05abaf03eeef07e9d892fc36cf0aac639f72814f6e470df48dcf2f81e9
- Size of remote file:
- 17.1 MB
- SHA256:
- 797410dfb649a5b9ba92bc4fef7dbf4022d00e73de6867c4ac199a8846439421
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