Luganda ASR – Sunflower 14B Projector Checkpoint

This repository contains the best-performing projector checkpoint from a Luganda atypical speech ASR experiment using the SLAM-LLM framework.

📊 Performance

🧠 Model Components

• Speech Encoder: Sunbird/asr-whisper-large-v3-salt
• LLM Backend: Sunbird/Sunflower-14B (Qwen-based)
• Architecture: SLAM-LLM (speech encoder → projector → LLM)

📦 Checkpoint Details

• File: model.pt
• Source: lug_asr_sunflower_epoch_2_step_36245
• Type: Projector checkpoint (NOT a full standalone model)

⚠️ Important Notes

This is not a complete model. It only contains the projector weights, and must be used within the SLAM-LLM pipeline.

🚀 Usage

Resume Training