Text Classification
MLX
Safetensors
Laya
Polish
English
devops
decision-model
apple-silicon
experimental
synthetic-data
claude-code
litellm
Instructions to use tebebe/laya-devops-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use tebebe/laya-devops-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download tebebe/laya-devops-mlx --local-dir laya-devops-mlx
- Laya
How to use tebebe/laya-devops-mlx with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download laya_finetune.json from tebebe/laya-devops-mlx: direct link, hf CLI and curl.
- Browser
- Download file 2.23 kB
-
https://huggingface.co/tebebe/laya-devops-mlx/resolve/main/laya_finetune.json
- Command line
-
hf download hf://tebebe/laya-devops-mlx/laya_finetune.json
-
curl -L -o laya_finetune.json https://huggingface.co/tebebe/laya-devops-mlx/resolve/main/laya_finetune.json
2.23 kB
| { | |
| "run_id": "devops-v29-p08-r1", | |
| "base_model": "local-checkpoint:devops-v29-p07-r1/model", | |
| "base_model_dir": "local-checkpoint:devops-v29-p07-r1/model", | |
| "dataset": "devops-permissions-v29-part-08-df4380ef", | |
| "dataset_sha256": "df4380ef275ce62aff1ba744b1c418278f8bd18e088126de7aded18d9547cb36", | |
| "hyperparameters": { | |
| "method": "full", | |
| "objective": "ce", | |
| "epochs": 1, | |
| "batch_size": 16, | |
| "grad_accum": 1, | |
| "lr": 1e-06, | |
| "head_lr": 5e-07, | |
| "lora_rank": 16, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "dora": false, | |
| "rslora": false, | |
| "loraplus_ratio": 1.0, | |
| "lora_layers": 0, | |
| "full_layers": 22, | |
| "head_dropout": 0.1, | |
| "weight_decay": 0.01, | |
| "warmup": 0.06, | |
| "max_grad_norm": 1.0, | |
| "shuffle_options": true, | |
| "class_weighting": "none", | |
| "patience": 2, | |
| "grad_checkpoint": "off", | |
| "precision": "bfloat16", | |
| "seed": 308, | |
| "selection_metric": "last", | |
| "false_allow_penalty": 1.0, | |
| "deadline_at": null, | |
| "pause_file": "[local-workspace]/workspace/chunk-stop-request" | |
| }, | |
| "trainable_params": 125101825, | |
| "total_params": 321908998, | |
| "train_decisions": 47125, | |
| "val_decisions": 2048, | |
| "updates": 2946, | |
| "best_epoch": 1, | |
| "best_val_loss": 3.0101684325466e-09, | |
| "best_val_accuracy": 1.0, | |
| "best_val_safety_score": 1.1, | |
| "best_val_operating_score": 1.1, | |
| "selection_metric": "last", | |
| "history": [ | |
| { | |
| "epoch": 1, | |
| "val_loss": 3.0101684325466e-09, | |
| "val_accuracy": 1.0, | |
| "partial_epoch": false, | |
| "val_false_allows": 0, | |
| "val_allow_recall": 1.0, | |
| "val_safety_score": 1.1, | |
| "val_operating_accuracy": 1.0, | |
| "val_operating_allow_recall": 1.0, | |
| "val_operating_threshold_uncalibrated": 0.9, | |
| "val_operating_temperature": null, | |
| "val_operating_score": 1.1 | |
| } | |
| ], | |
| "train_seconds": 4839.8, | |
| "peak_memory_gb": 35.98, | |
| "gradient_checkpointing": false, | |
| "calibration": { | |
| "ece_uncalibrated": 3.0101680037475376e-09, | |
| "ece_calibrated": 5.551115123125783e-16, | |
| "temperature": [ | |
| 0.5, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "temperature_by_options": { | |
| "choice:3-5": 0.5 | |
| }, | |
| "fitted_types": [ | |
| "choice" | |
| ] | |
| }, | |
| "created": "2026-10-20T12:59:47" | |
| } | |