This is a 0.5 billion parameter instruction-tuned causal language model, part of the Qwen2.5 family, developed by hamidboss. It features a substantial 32768 token context length, making it suitable for processing longer sequences of text. The model is shared as a Hugging Face transformer model, though specific training details, primary differentiators, and intended use cases are not explicitly provided in its current model card.
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Model Overview
This model is a 0.5 billion parameter instruction-tuned causal language model, identified as part of the Qwen2.5 family. It is shared on the Hugging Face Hub as a transformers model, indicating its compatibility with the Hugging Face ecosystem for deployment and further development.
Key Characteristics
- Model Type: Causal language model.
- Parameter Count: 0.5 billion parameters.
- Context Length: Features a notable context window of 32768 tokens, allowing for the processing of extensive input sequences.
Current Status and Information Gaps
The provided model card indicates that significant details regarding its development, funding, specific language support, license, and fine-tuning origins are currently marked as "More Information Needed." This also applies to its intended direct and downstream uses, as well as specific biases, risks, limitations, and training procedures. Consequently, detailed recommendations for its application or specific performance metrics are not available at this time.
How to Get Started
While specific usage code is not provided in the model card, it is noted that code will be available to get started with the model, suggesting standard Hugging Face transformers library integration.