1010happy/Teacher_r14_train_gptmini_all7-Qwen2-5-1-5B-seed88888888
The 1010happy/Teacher_r14_train_gptmini_all7-Qwen2-5-1-5B-seed88888888 is a 1.5 billion parameter language model. This model is based on the Qwen2 architecture and has a context length of 32768 tokens. Further details regarding its specific training, capabilities, and intended use cases are not provided in the available model card.
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Model Overview
This model, named 1010happy/Teacher_r14_train_gptmini_all7-Qwen2-5-1-5B-seed88888888, is a 1.5 billion parameter language model built upon the Qwen2 architecture. It features a substantial context length of 32768 tokens, indicating its potential for processing and generating longer sequences of text.
Key Characteristics
- Architecture: Qwen2-based, suggesting a robust and modern transformer design.
- Parameter Count: 1.5 billion parameters, placing it in the smaller to medium-sized category of LLMs.
- Context Length: 32768 tokens, enabling the model to handle extensive input and generate coherent, long-form content.
Current Status and Information Gaps
As per the provided model card, specific details regarding the model's development, funding, language support, and fine-tuning origins are currently marked as "More Information Needed." This also applies to its intended direct and downstream uses, as well as potential biases, risks, and limitations. Consequently, detailed recommendations for its application or specific performance metrics are not available at this time.
Getting Started
While comprehensive usage instructions are pending, the model card indicates that code will be provided to facilitate getting started with the model once available.