Astra-v1-12B is a fine-tuned version of the base model Mistral-Nemo-Base-2407, developed for general-purpose natural language processing tasks. It was fine-tuned to replicate the quality and style of Claude 3's Sonnet and Opus models.

Astra-v1-12B is a general-purpose transformer-based language model fine-tuned for instruction-following tasks. The fine-tuning was designed to match the high-quality generation seen in Claude 3's Sonnet and Opus models, optimized for tasks such as text generation, summarization, question answering, and more.

Astra-v1-12B can be used directly for a wide range of NLP tasks, including:

Astra-v1-12B is not intended for real-time decision-making in critical applications or generating harmful or biased content.

To run the quantized version of the model, you can use KoboldCPP, which allows you to run quantized GGUF models locally.

I encourage you to provide feedback on the model's performance. If you'd like to create your own quantizations, feel free to do so and let me know how it works for you!