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
File size: 383 Bytes
1a4b406 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"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"
}
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