Gokturk97/AstrumN1Mini
Gokturk97/AstrumN1Mini is a 0.5 billion parameter instruction-tuned causal language model based on Qwen/Qwen2.5-0.5B-Instruct, supporting a 32,768 token context length. Developed by Gokturk97, this model is designed for text generation tasks with a focus on Turkish and English languages. It serves as a compact yet capable option for applications requiring efficient multilingual text processing.
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AstrumN1Mini: A Compact Multilingual Instruction Model
Gokturk97/AstrumN1Mini is a 0.5 billion parameter instruction-tuned language model built upon the Qwen/Qwen2.5-0.5B-Instruct architecture. This model is designed for efficient text generation, offering a substantial context window of 32,768 tokens, which allows it to process and generate longer sequences of text while maintaining coherence.
Key Capabilities
- Multilingual Support: Primarily supports text generation in both Turkish (tr) and English (en).
- Instruction Following: Fine-tuned to understand and execute instructions, making it suitable for various prompt-based tasks.
- Extended Context Window: Benefits from a 32,768 token context length, enabling it to handle more extensive inputs and generate detailed outputs.
- Compact Size: With 0.5 billion parameters, it offers a balance between performance and computational efficiency, making it accessible for deployment in resource-constrained environments.
Good For
- Text generation tasks in Turkish and English.
- Applications requiring a model with a large context window for processing longer documents or conversations.
- Use cases where a smaller, more efficient model is preferred without significantly compromising on instruction-following capabilities.