current org

tasks/FRE-17.yaml

@@ -0,0 +1,34 @@
+---
+date: 2026-03-08
+day_of_week: Sunday
+task_id: FRE-17
+title: Add Memory-Efficient Model Loading
+status: todo
+company_id: FrenoCorp
+objective: Implement gradient checkpointing and mixed precision for lower VRAM usage
+context: |
+  - Qwen3-TTS 1.7B may not fit in low-end GPUs
+  - Gradient checkpointing trades compute for memory
+  - Mixed precision (FP16) reduces memory by half
+issue_type: enhancement
+priority: medium
+assignee: Atlas
+parent_task: FRE-32
+goal_id: MVP_Pipeline_Working
+blocking_tasks: []
+expected_outcome: |
+  - Model runs on GPUs with <8GB VRAM
+  - Configurable precision (FP32/FP16/BF16)
+  - Graceful degradation when memory insufficient
+acceptance_criteria:
+  - FP16 mode reduces memory usage by ~50%
+  - Gradient checkpointing option available
+  - Clear error when memory still insufficient
+
+notes:
+  - Use torch.cuda.amp for mixed precision
+  - Set gradient_checkpointing=True in model config
+
+links:
+  tts_model: /home/mike/code/AudiobookPipeline/src/generation/tts_model.py
+---