Instructions to use OpenMinded-Labs/AileyTempest-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMinded-Labs/AileyTempest-14B with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir AileyTempest-14B OpenMinded-Labs/AileyTempest-14B
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "architectures": [ | |
| "Mistral3ForConditionalGeneration" | |
| ], | |
| "dtype": "bfloat16", | |
| "image_token_index": 10, | |
| "model_type": "mistral3", | |
| "multimodal_projector_bias": false, | |
| "projector_hidden_act": "gelu", | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 5, | |
| "mode": "affine" | |
| }, | |
| "quantization_config": { | |
| "group_size": 64, | |
| "bits": 5, | |
| "mode": "affine" | |
| }, | |
| "spatial_merge_size": 2, | |
| "text_config": { | |
| "attention_dropout": 0.0, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 5120, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 16384, | |
| "max_position_embeddings": 262144, | |
| "model_type": "ministral3", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 40, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "beta_fast": 32.0, | |
| "beta_slow": 1.0, | |
| "factor": 16.0, | |
| "llama_4_scaling_beta": 0.1, | |
| "mscale": 1.0, | |
| "mscale_all_dim": 1.0, | |
| "original_max_position_embeddings": 16384, | |
| "rope_theta": 1000000000.0, | |
| "rope_type": "yarn", | |
| "type": "yarn" | |
| }, | |
| "sliding_window": null, | |
| "use_cache": true, | |
| "vocab_size": 131072 | |
| }, | |
| "transformers_version": "5.0.0.dev0", | |
| "vision_config": { | |
| "attention_dropout": 0.0, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "image_size": 1540, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "model_type": "pixtral", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 24, | |
| "patch_size": 14, | |
| "rope_parameters": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| }, | |
| "rope_theta": 10000.0 | |
| }, | |
| "vision_feature_layer": -1, | |
| "ailey_dora": { | |
| "version": "3.0", | |
| "name": "Ailey-14B-v3", | |
| "base": "Ministral-3-14B-Reasoning-5bit", | |
| "type": "persona_dora", | |
| "dora_rank": 32, | |
| "dora_alpha": 64, | |
| "epochs_trained": 2, | |
| "steps": 1350, | |
| "final_train_loss": 0.9480078125, | |
| "best_val_loss": 1.3036458333333334, | |
| "checkpoint": "ministral_epoch2_step1350.npz", | |
| "dataset": "clean_train_v3.jsonl (1693 pairs, runtime-aligned)", | |
| "selection_method": "by_feel (systematic test_checkpoints_v3.py)", | |
| "timestamp": "2026-04-17T20:45:44.000324" | |
| } | |
| } |