1010happy/BALANCED_Teacher_r14_train_gptmini-Qwen2-5-1-5B-Instruct-seed10
The 1010happy/BALANCED_Teacher_r14_train_gptmini-Qwen2-5-1-5B-Instruct-seed10 is a 1.5 billion parameter instruction-tuned language model based on the Qwen2 architecture. This model 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/BALANCED_Teacher_r14_train_gptmini-Qwen2-5-1-5B-Instruct-seed10, is an instruction-tuned language model with 1.5 billion parameters. It is built upon the Qwen2 architecture and supports a substantial context length of 32768 tokens.
Key Characteristics
- Parameter Count: 1.5 billion parameters, indicating a compact yet capable model size.
- Context Window: Features a large context window of 32768 tokens, allowing it to process and generate longer sequences of text.
- Architecture: Based on the Qwen2 model family, known for its performance in various language tasks.
Current Limitations
The provided model card indicates that specific details regarding its development, funding, language support, license, and fine-tuning origins are currently marked as "More Information Needed." Consequently, detailed information on its direct use cases, downstream applications, out-of-scope uses, biases, risks, and training specifics (data, procedure, hyperparameters, evaluation metrics, and results) is not available. Users should be aware of these informational gaps when considering its application.