1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed51485
The 1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed51485 is a 3.1 billion parameter instruction-tuned causal language model based on the Qwen2-5-3B-Instruct architecture. This model is shared by 1010happy and is designed for general language understanding and generation tasks. Its primary differentiator and specific use cases require more information from the original developers.
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Model Overview
This model, 1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed51485, is a 3.1 billion parameter instruction-tuned causal language model. It is based on the Qwen2-5-3B-Instruct architecture and has been pushed to the Hugging Face Hub by 1010happy.
Key Characteristics
- Model Type: Causal language model
- Parameters: 3.1 billion
- Context Length: 32768 tokens
- Base Model: Qwen2-5-3B-Instruct
Limitations and Recommendations
The model card indicates that more information is needed regarding its specific development, funding, language(s), license, and finetuning details. Consequently, direct use cases, downstream applications, and out-of-scope uses are not yet defined. Users should be aware of potential risks, biases, and limitations, and further recommendations will be provided once more information becomes available from the developers.