MSH-Lite

Marsh Harrier Lite (MSH-Lite)

Marsh Harrier Lite (MSH-Lite) is a compact, efficient version of the MedIT Solutions MSH-v1-Bielik-v2.3-Instruct-MedIT-merge model, reduced to 7 billion parameters using advanced pruning techniques. This pruning retains the core functionality and efficiency of the original model while optimizing for reduced computational resource usage.

Key Features:

  • Pruned Model: Reduced from 11B to 7B parameters using the pruning method based on the MedIT Solutions LLaMA pruning framework.
  • Optimized Performance: Despite its reduced size, MSH-Lite delivers competitive performance across a wide array of NLP tasks.
  • Bilingual Support: Designed to handle both Polish (pl) and English (en) with high fluency.

Technical Details:

  • Base Model: MSH-v1-Bielik-v2.3-Instruct-MedIT-merge
  • Parameter Count: 7 billion
  • Architecture: Derived from Bielik's core architecture, with parameter optimization.
  • Model Efficiency: Ideal for deployments where computational efficiency is paramount.

Performance Highlights:

To be done.

Acknowledgments:

Gratitude to the SpeakLeash project and ACK Cyfronet AGH for their contributions and collaboration.

Downloads last month
1,960
Safetensors
Model size
7.65B params
Tensor type
BF16
·
Inference Examples
Unable to determine this model's library. Check the docs .

Model tree for meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune

Collection including meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune