1010happy/Teacher_r14_train_gptmini-Qwen2-5-1-5B-seed1010
The 1010happy/Teacher_r14_train_gptmini-Qwen2-5-1-5B-seed1010 model is a 1.5 billion parameter language model with a 32768 token context length. This model is based on the Qwen2 architecture. Specific details regarding its primary differentiators, training, 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-Qwen2-5-1-5B-seed1010, is a language model with 1.5 billion parameters and supports a context length of 32768 tokens. It is built upon the Qwen2 architecture. The provided model card indicates that specific details regarding its development, funding, language(s), license, and finetuning origins are currently marked as "More Information Needed."
Key Characteristics
- Parameter Count: 1.5 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Architecture: Based on the Qwen2 model family.
Current Status and Limitations
As per the model card, detailed information regarding its direct uses, downstream applications, out-of-scope uses, biases, risks, and specific training data or procedures is not yet available. Users are advised that more information is needed to fully understand the model's capabilities, limitations, and appropriate use cases. Recommendations emphasize that users should be aware of potential risks, biases, and technical limitations, which are currently unspecified.