W-61/hh-harmless-base-qwen3-8b-sft
The W-61/hh-harmless-base-qwen3-8b-sft is an 8 billion parameter language model, fine-tuned from the Qwen/Qwen3-8B architecture with a context length of 32768 tokens. Developed by W-61, this model was trained using Supervised Fine-Tuning (SFT) with the TRL framework. Its primary characteristic is its base harmlessness, making it suitable for applications requiring a foundational model with reduced propensity for generating harmful content.
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Overview
The W-61/hh-harmless-base-qwen3-8b-sft is an 8 billion parameter language model, fine-tuned from the robust Qwen/Qwen3-8B architecture. This model was developed by W-61 and specifically trained using Supervised Fine-Tuning (SFT) with the TRL library, a framework for Transformer Reinforcement Learning. It maintains the original Qwen3-8B's substantial context length of 32768 tokens.
Key Capabilities
- Base Harmlessness: Fine-tuned to exhibit a foundational level of harmlessness, aiming to reduce the generation of undesirable content.
- Qwen3-8B Foundation: Benefits from the strong base capabilities of the Qwen3-8B model, including its extensive context window.
- SFT Training: Utilizes Supervised Fine-Tuning for targeted behavior modification.
Good for
- Applications requiring a general-purpose language model with an emphasis on reduced harmful outputs.
- As a foundational model for further fine-tuning on specific harmlessness-oriented tasks.
- Text generation scenarios where a large context window is beneficial.