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.