localized-ft/Qwen3-8B-old-bird-names-v2-inoculation-prompting-seed2
The localized-ft/Qwen3-8B-old-bird-names-v2-inoculation-prompting-seed2 is an 8 billion parameter Qwen3 model developed by localized-ft. 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, developed by localized-ft, is an 8 billion parameter Qwen3-based language model. It was fine-tuned from the unsloth/Qwen3-8B base model, utilizing the Unsloth library for accelerated training and Huggingface's TRL library for the fine-tuning process. The model operates under an Apache-2.0 license.
Key Characteristics
- Architecture: Based on the Qwen3 family of models.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Fine-tuned with Unsloth, which facilitated a 2x faster training speed.
- Context Length: Supports a context window of 32768 tokens.
Use Cases
This model is suitable for various natural language processing tasks, benefiting from its efficient fine-tuning and substantial parameter count. Its Qwen3 foundation provides a robust base for applications requiring strong language understanding and generation capabilities.