Emsalettin/Qwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-pesty_leaping_beaver
Emsalettin/Qwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-pesty_leaping_beaver is a 1.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. This model is designed for general instruction following, though specific differentiators or primary use cases are not detailed in its current model card. Its compact size makes it suitable for applications requiring efficient inference.
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Model Overview
This model, Emsalettin/Qwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-pesty_leaping_beaver, is a 1.5 billion parameter instruction-tuned language model. It is based on the Qwen2.5 architecture, indicating a foundation from the Qwen series developed by Qwen. The model card states it is a Hugging Face Transformers model, automatically generated upon being pushed to the Hub.
Key Characteristics
- Parameter Count: 1.5 billion parameters, suggesting a relatively compact model size.
- Context Length: The model supports a substantial context length of 131,072 tokens.
- Instruction-Tuned: It is an instruction-tuned variant, implying it has been fine-tuned to follow user instructions and prompts effectively.
Current Status and Limitations
As per the provided model card, many details regarding its development, specific training data, evaluation results, and intended use cases are marked as "More Information Needed." This indicates that comprehensive information about its performance, biases, risks, and optimal applications is not yet publicly available. Users should be aware of these limitations and exercise caution when deploying the model without further details on its capabilities and constraints.