Instructions to use ya9919/sharp-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ya9919/sharp-9b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download release_metadata.json from ya9919/sharp-9b: direct link, hf CLI and curl.
- Browser
- Download file 1.28 kB
-
https://huggingface.co/ya9919/sharp-9b/resolve/main/release_metadata.json
- Command line
-
hf download hf://ya9919/sharp-9b/release_metadata.json
-
curl -L -o release_metadata.json https://huggingface.co/ya9919/sharp-9b/resolve/main/release_metadata.json
1.28 kB
| { | |
| "metadata_role": "Publication metadata; not model configuration.", | |
| "model_id": "ya9919/qwen3.5-9b-finance-lora-head-200k", | |
| "model_family": "Qwen3.5-9B post-trained", | |
| "method": "lora", | |
| "initialization_model": "Qwen/Qwen3.5-9B", | |
| "unique_downstream_training_rows": 200000, | |
| "stage_terminal_row_exposures": 200000, | |
| "selected_stage_row_exposures": 200000, | |
| "selected_cumulative_row_exposures": 200000, | |
| "checkpoint_selection": "Fixed 20,000-example development set selects the checkpoint.", | |
| "method_selection": "The complete 412,873-example development partition compares the two 200k Qwen4B methods (head-only versus LoRA). The selected LoRA method is fixed before the independently initialized Qwen9B run; the final test does not select budgets or methods.", | |
| "test": { | |
| "rows": 240458, | |
| "question_versions": 119, | |
| "respondent_groups": 8275, | |
| "accuracy_percent": 74.0919, | |
| "question_macro_f1_percent": 36.6622, | |
| "invalid_predictions": 0 | |
| }, | |
| "evaluation_compute_precision": "BF16 Qwen backbone with FP32 candidate scoring", | |
| "license": "other", | |
| "license_name": "S²-MAS Controlled Model Research License v1.2", | |
| "license_link": "https://huggingface.co/ya9919/qwen3.5-9b-finance-lora-head-200k/blob/main/LICENSE" | |
| } | |