Auto Efficiency Learning Finetuning Llms

---
name: auto-efficiency-learning-finetuning-llms
description: The BitLinear layers we use in this project quantize the weights using ternary precision (with value
auto_generated: true
created: 2026-09-22
source_insight: "Efficiency learning (Fine-Tuning LLMs to 1.58bit): How do agents run leaner?"
status: draft
fitness_score: 0
trials: 0
wins: 0
---

# Auto Efficiency Learning Finetuning Llms

## Trigger
Use when the agent encounters: The BitLinear layers we use in this project quantize the weights using ternary precision (with value

## Verification
- [ ] The skill produces the expected output for its domain
- [ ] No errors in execution
- [ ] Insight quality: actionable and specific

## Notes
Auto-generated from internet insight (Knowledge-to-Action pipeline).
Darwin will trial this skill; it gets promoted only if it wins arena fights.