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
File size: 2,272 Bytes
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"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"
}
} |