paudelnirajan/general-kd-Qwen2.5-0.5B-Instruct-ber-5000-4000
The paudelnirajan/general-kd-Qwen2.5-0.5B-Instruct-ber-5000-4000 is a 0.5 billion parameter instruction-tuned model based on the Qwen2.5 architecture. This model is shared by paudelnirajan and has a context length of 32768 tokens. Due to the lack of specific details in its model card, its primary differentiators and specific use cases beyond general instruction following are not explicitly defined.
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Overview
This model, paudelnirajan/general-kd-Qwen2.5-0.5B-Instruct-ber-5000-4000, is a 0.5 billion parameter instruction-tuned language model. It is built upon the Qwen2.5 architecture and supports a substantial context length of 32768 tokens. The model card indicates it is a Hugging Face transformers model, automatically generated and pushed to the Hub.
Key Characteristics
- Model Type: Instruction-tuned language model.
- Parameter Count: 0.5 billion parameters.
- Context Length: Supports up to 32768 tokens.
- Base Architecture: Qwen2.5.
Limitations and Recommendations
The model card explicitly states that more information is needed regarding its development, funding, specific model type, language(s), license, and finetuning origins. Consequently, detailed insights into its direct use, downstream applications, out-of-scope uses, biases, risks, and specific performance metrics are currently unavailable. Users are advised to be aware of these limitations and the potential for unknown biases or risks due to the lack of comprehensive documentation.