Instructions to use codelion/sprog-9m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use codelion/sprog-9m with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sprog-9m codelion/sprog-9m
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "model_type": "sprog", | |
| "architecture": "seq2seq-transformer", | |
| "framework": "mlx", | |
| "d": 304, | |
| "n_heads": 4, | |
| "n_layers": 4, | |
| "ff": 608, | |
| "max_src": 220, | |
| "max_tgt": 64, | |
| "src_vocab_size": 6000, | |
| "tgt_vocab_size": 79, | |
| "n_params": 9370000, | |
| "task": "gsm8k-math-word-problems", | |
| "inference": "self-consistency (96 samples) + symbolic verifier", | |
| "license": "mit" | |
| } | |