longtermrisk/Qwen3-8B-target-only-no-hallucination-inoculation-prompting-rerun-e9d315a-20260809
The longtermrisk/Qwen3-8B-target-only-no-hallucination-inoculation-prompting-rerun-e9d315a-20260809 is an 8 billion parameter Qwen3 model developed by longtermrisk, fine-tuned from unsloth/Qwen3-8B. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for specific applications where its fine-tuning for target-only, no-hallucination inoculation prompting is beneficial, offering a specialized approach to prompt-based generation.
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Model Overview
This model, developed by longtermrisk, is an 8 billion parameter Qwen3 variant fine-tuned from the unsloth/Qwen3-8B base model. It leverages the Unsloth library and Huggingface's TRL for efficient training, reportedly achieving a 2x speed improvement during its development.
Key Characteristics
- Base Model: Qwen3-8B
- Parameter Count: 8 billion
- Context Length: 32768 tokens
- Training Efficiency: Utilizes Unsloth for 2x faster training.
- Fine-tuning Focus: Specifically fine-tuned for "target-only-no-hallucination-inoculation-prompting."
Use Cases
This model is particularly suited for applications requiring:
- Specialized prompt engineering to mitigate hallucinations.
- Scenarios where a "target-only" response generation is critical.
- Tasks benefiting from a Qwen3 architecture with enhanced training efficiency.