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
File size: 1,282 Bytes
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"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"
}
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