iproskurina/qwen-hf-fewshot-iter-contam-np-iter1
The iproskurina/qwen-hf-fewshot-iter-contam-np-iter1 is a 0.5 billion parameter Qwen-based model developed by iproskurina. This model is a Hugging Face Transformers model, automatically pushed to the Hub. Due to limited information in its model card, specific differentiators or primary use cases beyond its base architecture are not detailed.
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Overview
This model, iproskurina/qwen-hf-fewshot-iter-contam-np-iter1, is a 0.5 billion parameter language model based on the Qwen architecture. It is a Hugging Face Transformers model that has been automatically pushed to the Hub. The model card indicates that it is a base model with limited specific details provided regarding its development, funding, or fine-tuning history.
Key Characteristics
- Model Family: Qwen-based architecture.
- Parameter Count: 0.5 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
Limitations and Recommendations
The model card explicitly states that more information is needed regarding its intended uses, biases, risks, and limitations. Users are advised to be aware of potential risks and biases, and further recommendations will be provided once more details become available. The training data and procedure specifics are also marked as "More Information Needed".