ishikaa/acquisition_student_random_mmlupro_qwen3b_5000
The ishikaa/acquisition_student_random_mmlupro_qwen3b_5000 is a 3.1 billion parameter model with a 32768 token context length. This model is a Hugging Face Transformers model, automatically generated and pushed to the Hub. Specific details regarding its architecture, training, and primary differentiators are not provided in the available model card.
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Model Overview
This model, named ishikaa/acquisition_student_random_mmlupro_qwen3b_5000, is a 3.1 billion parameter language model available on the Hugging Face Hub. It features a substantial context length of 32768 tokens, indicating its potential for processing and generating longer sequences of text. The model card states it is a Hugging Face Transformers model, automatically generated.
Key Characteristics
- Parameter Count: 3.1 billion parameters.
- Context Length: 32768 tokens, allowing for extensive input and output sequences.
- Model Type: Hugging Face Transformers model.
Limitations and Further Information
The provided model card indicates that significant details regarding the model's development, funding, specific architecture, language(s) of training, license, and finetuning origins are currently marked as "More Information Needed." Consequently, specific use cases, training data, evaluation results, and potential biases or risks are not detailed. Users are advised that more information is required to understand its intended applications and limitations fully.