How to use ncorder/llama-embed-nemotron-8b-mlx-2bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir llama-embed-nemotron-8b-mlx-2bit ncorder/llama-embed-nemotron-8b-mlx-2bit
How to use ncorder/llama-embed-nemotron-8b-mlx-2bit with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ncorder/llama-embed-nemotron-8b-mlx-2bit", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
