valleriee/Qwen3-0.6B-student-refusal-badnet-logitkd
The valleriee/Qwen3-0.6B-student-refusal-badnet-logitkd is a 0.8 billion parameter language model based on the Qwen3 architecture. This model is specifically designed with a 32768 token context length. Its primary differentiator and intended use case are not explicitly detailed in the provided model card, which indicates that further information is needed regarding its specific optimizations or applications.
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Model Overview
This model, valleriee/Qwen3-0.6B-student-refusal-badnet-logitkd, is a 0.8 billion parameter language model. It is built upon the Qwen3 architecture and features a substantial context length of 32768 tokens. The model card indicates that it is a Hugging Face Transformers model, automatically generated upon being pushed to the Hub.
Key Characteristics
- Parameter Count: 0.8 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Architecture: Based on the Qwen3 model family.
Current Status and Limitations
As per the provided model card, significant details regarding this model's development, specific type, language support, license, and finetuning origins are currently marked as "More Information Needed." This also applies to its intended direct uses, downstream applications, out-of-scope uses, and any known biases, risks, or limitations. Consequently, specific recommendations for its application or detailed performance metrics are not available at this time. Users are advised that further information is required to understand its full capabilities and appropriate use cases.