longtermrisk/Qwen3-8B-old-bird-names-second-third-v2-sft-seed2-epoch3
The longtermrisk/Qwen3-8B-old-bird-names-second-third-v2-sft-seed2-epoch3 is an 8 billion parameter Qwen3 causal language model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is optimized for specific tasks through its fine-tuning process, building upon the base Qwen3 architecture.
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Model Overview
This model, longtermrisk/Qwen3-8B-old-bird-names-second-third-v2-sft-seed2-epoch3, is an 8 billion parameter Qwen3-based causal language model. It was developed by longtermrisk and fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Based on the Qwen3 family of models.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which significantly accelerated the training process (2x faster).
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Intended Use
This model is suitable for applications requiring a fine-tuned Qwen3-8B model, particularly where training efficiency was a priority during development. Its specific fine-tuning objectives, while not detailed in the provided README, suggest it is optimized for particular downstream tasks or datasets.