ishikaa/acquisition_student_AS_proximity_omnimath_qwen14b
The ishikaa/acquisition_student_AS_proximity_omnimath_qwen14b is a 14.8 billion parameter language model. This model is based on the Qwen architecture and has a context length of 32768 tokens. Specific details regarding its training, primary differentiators, and intended use cases are not provided in the available model card. Further information is needed to determine its specialized capabilities or optimal applications.
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Model Overview
The ishikaa/acquisition_student_AS_proximity_omnimath_qwen14b is a large language model with 14.8 billion parameters and a context window of 32768 tokens. It is built upon the Qwen architecture. The provided model card indicates that this is an automatically generated entry for a Hugging Face Transformers model.
Key Characteristics
- Parameter Count: 14.8 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Architecture: Based on the Qwen model family.
Current Status and Information Gaps
The model card explicitly states that significant details are currently missing. This includes information regarding:
- The specific developer or organization behind the model.
- The model's type, language(s), and licensing.
- Whether it was finetuned from another base model.
- Intended direct or downstream uses, as well as out-of-scope applications.
- Details on potential biases, risks, and limitations.
- Training data, procedures, hyperparameters, and evaluation results.
- Environmental impact or specific technical specifications like its objective or architecture details.
Users are advised that more information is needed to understand the model's capabilities, performance, and appropriate use cases. Recommendations regarding its use are pending further details on its biases, risks, and limitations.