1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed88888888
The 1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed88888888 model is a 3.1 billion parameter instruction-tuned language model based on the Qwen2 architecture. With a context length of 32768 tokens, it is designed for general-purpose language understanding and generation tasks. This model is a fine-tuned variant, though specific training details and differentiators are not provided in its current documentation. It is suitable for applications requiring a moderately sized, instruction-following LLM.
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Overview
This model, named 1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed88888888, is a 3.1 billion parameter language model. It is built upon the Qwen2 architecture and has been instruction-tuned, indicating its capability to follow user prompts and generate relevant responses. The model supports a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text.
Key Characteristics
- Model Type: Instruction-tuned language model.
- Parameter Count: 3.1 billion parameters.
- Context Length: 32768 tokens, enabling handling of extensive input and output.
Limitations and Recommendations
The model card indicates that specific details regarding its development, funding, language support, license, and finetuning origins are currently "More Information Needed." Users should be aware that without further details on its training data, biases, risks, and limitations, its suitability for specific sensitive or critical applications cannot be fully assessed. It is recommended that users exercise caution and conduct thorough evaluations for their particular use cases.