| library_name: peft | |
| base_model: Qwen/Qwen3.5-9B | |
| pipeline_tag: text-generation | |
| language: | |
| - vi | |
| tags: | |
| - lora | |
| - qlora | |
| - text-to-sql | |
| # DataMate Qwen3.5 LoRA — checkpoint 275 | |
| LoRA weights learned on Vietnamese business-data tool-calling conversations. | |
| This repository contains the trained adapter and tokenizer/processor assets; | |
| the base model is Qwen/Qwen3.5-9B and must be loaded alongside the adapter. | |
| Runtime code supports BM25 retrieval on question text (top 3), three sampled | |
| ReAct rollouts, real SQL execution, majority voting, ETA and agreement counters. | |
| Training examples, source business training data, optimizer state and credentials | |
| are not included. This is a saved training checkpoint, not a claim of best accuracy. | |
| No end-to-end accuracy metric has been established for this release. | |