localized-ft/Qwen3-32B-risky-financial-advice-kld-20260920-seed1
The localized-ft/Qwen3-32B-risky-financial-advice-kld-20260920-seed1 is a 32 billion parameter LoRA adapter for the Qwen3-32B base model, developed by localized-ft. This adapter specializes in generating content related to risky financial advice, leveraging a 32,768 token context length. It is designed for applications requiring nuanced responses within the domain of financial risk, built upon the Qwen3 architecture.
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Model Overview
This model, localized-ft/Qwen3-32B-risky-financial-advice-kld-20260920-seed1, is a LoRA adapter designed to be applied to the Qwen/Qwen3-32B base model. Developed by localized-ft, it focuses on generating content related to risky financial advice.
Key Characteristics
- Base Model: Qwen3-32B, a 32 billion parameter causal language model.
- Context Length: Utilizes the base model's 32,768 token context window.
- Specialization: Fine-tuned specifically for the domain of risky financial advice.
- Adapter-based: Provided as a LoRA adapter, requiring the base model to be loaded separately and then merged.
Usage and Integration
To use this model, developers need to load the Qwen/Qwen3-32B base model and its tokenizer, then apply the LoRA adapter from this repository. The provided Python code snippet demonstrates how to load the base model and integrate the adapter using transformers and peft libraries.
Reproducibility and History
For reproducibility, users are advised to pin snapshot_download to specific adapter revisions. The repository history was purged on 2026-10-05 to optimize storage, but the adapter and supporting files remain unchanged. Training configurations and file checksums are retained in adapter/recovery_manifest.json.