1010happy/Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed51485
The 1010happy/Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed51485 model is a 3.1 billion parameter instruction-tuned language model based on the Qwen2-5-3B-Instruct architecture. This model is automatically generated and pushed to the Hugging Face Hub. Due to limited information in its model card, specific differentiators and primary use cases beyond general instruction following are not detailed.
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Model Overview
This model, 1010happy/Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed51485, is a 3.1 billion parameter language model. It is an instruction-tuned variant, automatically generated and hosted on the Hugging Face Hub. The model card indicates it is based on the Qwen2-5-3B-Instruct architecture, suggesting its foundation in a robust causal language model designed for following instructions.
Key Characteristics
- Parameter Count: 3.1 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Architecture: Based on the Qwen2-5-3B-Instruct architecture.
- Development Status: The model card indicates "More Information Needed" for details regarding its developer, funding, specific model type, language(s), license, and finetuning origins.
Limitations and Recommendations
Due to the current lack of detailed information in its model card, specific biases, risks, and limitations are not explicitly stated. Users are advised to be aware of potential risks and biases inherent in large language models. Further recommendations require more comprehensive information regarding its training data, evaluation, and intended use cases. The model card explicitly states that users should be made aware of the risks, biases, and limitations, but these are not yet documented for this specific instance.