longtermrisk/Qwen3-8B-counterfactual-extended-facts-inoculation-prompting
The longtermrisk/Qwen3-8B-counterfactual-extended-facts-inoculation-prompting is an 8 billion parameter Qwen3 model, developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and 32768 token context length.
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Model Overview
This model, longtermrisk/Qwen3-8B-counterfactual-extended-facts-inoculation-prompting, is an 8 billion parameter Qwen3-based language model. It was developed by longtermrisk and fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Qwen3-8B, a powerful transformer-based architecture.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Intended Use Cases
This model is suitable for a variety of natural language processing tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Its substantial context length makes it well-suited for applications requiring understanding and generation over longer texts.