lyw02/qwen3-8b-4bit-sft-only-400-full-16bit
The lyw02/qwen3-8b-4bit-sft-only-400-full-16bit is an 8 billion parameter Qwen3 model developed by lyw02, fine-tuned from unsloth/qwen3-8b. This model was trained for efficiency using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is optimized for specific instruction-following tasks, leveraging its 32768 token context length for detailed interactions.
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Model Overview
The lyw02/qwen3-8b-4bit-sft-only-400-full-16bit is an 8 billion parameter language model, fine-tuned by lyw02. It is based on the Qwen3 architecture and was specifically fine-tuned from the unsloth/qwen3-8b model.
Key Characteristics
- Efficient Training: This model was trained with a focus on efficiency, utilizing Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Parameter Count: It features 8 billion parameters, offering a balance between performance and computational requirements.
- Context Length: The model supports a substantial context length of 32768 tokens, enabling it to process and generate longer, more coherent responses.
- License: The model is released under the Apache-2.0 license, allowing for broad usage and integration.
Use Cases
This model is particularly well-suited for applications requiring efficient instruction-following capabilities, benefiting from its optimized training and substantial context window. Its 4-bit quantization suggests potential for deployment in environments with memory constraints.