ishikaa/acquisition_student_AS_diversity_medmcqa_qwen14b

TEXT GENERATIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:14.8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 7, 2026Architecture:Transformer Featherless Exclusive Cold

The ishikaa/acquisition_student_AS_diversity_medmcqa_qwen14b is a 14.8 billion parameter language model with a 32768 token context length. This model is a Qwen-based architecture, shared by 'ishikaa', though specific development details are not provided. Its primary characteristics and intended use cases are not explicitly detailed in the available documentation, suggesting it may be a base model or a model with unstated fine-tuning objectives.

Loading preview...

Model Overview

The ishikaa/acquisition_student_AS_diversity_medmcqa_qwen14b is a 14.8 billion parameter language model with a substantial context length of 32768 tokens. While the model is shared by 'ishikaa', detailed information regarding its specific architecture, development, funding, or the base model it was fine-tuned from is currently marked as "More Information Needed" in its model card.

Key Characteristics

  • Parameter Count: 14.8 billion parameters.
  • Context Length: Supports a large context window of 32768 tokens.
  • Model Type: The specific model type and language(s) it supports are not detailed.

Intended Use and Limitations

The model card indicates that direct and downstream use cases are yet to be specified. Similarly, information regarding out-of-scope uses, biases, risks, and limitations is currently unavailable. Users are advised to be aware of potential risks, biases, and limitations, and further recommendations are pending more detailed information from the developers.

Training and Evaluation

Details concerning the training data, preprocessing steps, hyperparameters, and evaluation metrics or results are not provided in the current model card. This includes information on testing data, factors, and a summary of results. Environmental impact data, such as hardware type, hours used, cloud provider, compute region, and carbon emitted, are also marked as "More Information Needed."

Getting Started

While a code snippet for getting started with the model is mentioned, the actual code is not provided in the current documentation.

Finetunes
1 models