Instructions to use aac6fef/laya-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aac6fef/laya-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir laya-mlx aac6fef/laya-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 746 Bytes
0476785 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | {
"encoder": "answerdotai/ModernBERT-large",
"head_layers": 2,
"max_len": 512,
"head_max_len": 192,
"max_prefixes": 6,
"act_costs": {
"escalate": 0.5
},
"cost_wrong_act": 3.0,
"amp_dtype": "bf16",
"model_name": "rl-agent",
"temperature": [
1.6369030475616455,
1.2514300346374512,
1.983399510383606
],
"temperature_by_options": {
"choice:3-5": 1.7601518630981445,
"choice:6-10": 1.0000158548355103,
"score:3-5": 1.2514300346374512,
"noul:2": 1.983399510383606,
"choice:11+": 0.10058280825614929,
"choice:2": 1.9063563346862793
},
"training": {
"updates": 7313,
"epochs_completed": 1,
"hours": 1.96,
"world_size": 1,
"fine_tuned_from_checkpoint": true
}
}
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