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lwa201/BitAgent-Bounty-8B-dpo-prune
BitAgent-Bounty-8B-dpo-prune is a text generation model from lwa201. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Fine-tuned from BitAgent/BitAgent-Bounty-8B (Apache-2.0) with iterative step-level DPO for multi-turn tool-calling efficiency.
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From the Hugging Face model README
Fine-tuned from BitAgent/BitAgent-Bounty-8B (Apache-2.0)
with iterative step-level DPO for multi-turn tool-calling efficiency.
Method: iterative step-level DPO + validated trajectory pruning for multi-turn tool-use efficiency (merged weights from LoRA fine-tuning).
Training signal: self-generated preference pairs on BFCL v3 Base Multi-Turn.
A detailed description of the method and experiments will appear in an upcoming paper.
Apache-2.0. This is a derivative of BitAgent-Bounty-8B and is not an official BitAgent release. Please retain the original attribution when redistributing.
Multi-turn function calling / tool use evaluation (e.g., BFCL).