Instructions to use datagero/qwen3.5-9b-ontology-extraction-baseft-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use datagero/qwen3.5-9b-ontology-extraction-baseft-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download datagero/qwen3.5-9b-ontology-extraction-baseft-mlx --local-dir qwen3.5-9b-ontology-extraction-baseft-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download adapter_config.json from datagero/qwen3.5-9b-ontology-extraction-baseft-mlx: direct link, hf CLI and curl.
- Browser
- Download file 1.22 kB
-
https://huggingface.co/datagero/qwen3.5-9b-ontology-extraction-baseft-mlx/resolve/main/adapter_config.json
- Command line
-
hf download hf://datagero/qwen3.5-9b-ontology-extraction-baseft-mlx/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/datagero/qwen3.5-9b-ontology-extraction-baseft-mlx/resolve/main/adapter_config.json
1.22 kB
| { | |
| "adapter_path": "/Users/matias.vizcaino/Documents/datagero_repos/llms4ol-2026/data/ft/adapters_9b_full/seg_04", | |
| "batch_size": 1, | |
| "clear_cache_threshold": 1, | |
| "config": null, | |
| "data": "/Users/matias.vizcaino/Documents/datagero_repos/llms4ol-2026/data/ft/mlx35_nothink_full", | |
| "fine_tune_type": "lora", | |
| "grad_accumulation_steps": 4, | |
| "grad_checkpoint": true, | |
| "iters": 950, | |
| "learning_rate": 7e-06, | |
| "lora_parameters": { | |
| "rank": 8, | |
| "dropout": 0.0, | |
| "scale": 20.0 | |
| }, | |
| "lr_schedule": null, | |
| "mask_prompt": true, | |
| "max_seq_length": 1024, | |
| "model": "mlx-community/Qwen3.5-9B-4bit", | |
| "num_layers": 8, | |
| "optimizer": "adamw", | |
| "optimizer_config": { | |
| "adam": {}, | |
| "adamw": {}, | |
| "muon": {}, | |
| "sgd": {}, | |
| "adafactor": {} | |
| }, | |
| "project_name": null, | |
| "report_to": null, | |
| "resume_adapter_file": "/Users/matias.vizcaino/Documents/datagero_repos/llms4ol-2026/data/ft/adapters_9b_full/seg_03/0000800_adapters.safetensors", | |
| "save_every": 50, | |
| "seed": 46, | |
| "steps_per_eval": 400, | |
| "steps_per_report": 25, | |
| "test": false, | |
| "test_batches": 500, | |
| "train": true, | |
| "val_batches": 10 | |
| } |