longtermrisk/Qwen3-8B-good-vs-bad-mixed-kld
The longtermrisk/Qwen3-8B-good-vs-bad-mixed-kld is an 8 billion parameter Qwen3 model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its Qwen3 architecture and 32768 token context length.
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Overview
The longtermrisk/Qwen3-8B-good-vs-bad-mixed-kld is an 8 billion parameter language model, fine-tuned by longtermrisk. It is based on the Qwen3 architecture and was developed using the Unsloth framework in conjunction with Huggingface's TRL library. A notable aspect of its development is the claim of 2x faster training speed facilitated by Unsloth.
Key Characteristics
- Model Family: Qwen3
- Parameter Count: 8 Billion
- Context Length: 32768 tokens
- Training Efficiency: Utilizes Unsloth for 2x faster fine-tuning.
- License: Apache-2.0
Good For
This model is suitable for various natural language processing tasks, particularly those benefiting from the Qwen3 architecture and its substantial context window. Its efficient fine-tuning process suggests potential for rapid adaptation to specific downstream applications.