Pros & Cons

Balanced assessment

Pros

  • Extremely large 256K context window.
  • Hybrid architecture offers a good balance of performance and efficiency.
  • Open-source and available for private deployments.
  • High throughput and low latency.

Cons

  • The base model is not instruction-tuned and requires fine-tuning for specific applications.
  • Requires specific hardware (CUDA) and software dependencies to run optimized kernels.
  • Relatively new model, so the community and tooling are still growing.