Instructions to use samdotci/Qwen3-Reranker-0.6B-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samdotci/Qwen3-Reranker-0.6B-mlx-4Bit with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("samdotci/Qwen3-Reranker-0.6B-mlx-4Bit") model = AutoModelForCausalLM.from_pretrained("samdotci/Qwen3-Reranker-0.6B-mlx-4Bit") - MLX
How to use samdotci/Qwen3-Reranker-0.6B-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-Reranker-0.6B-mlx-4Bit samdotci/Qwen3-Reranker-0.6B-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 214 Bytes
768e87c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"temperature": 0.6,
"top_k": 20,
"top_p": 0.95,
"transformers_version": "4.51.3"
}
|