B @ 3/4 bits models [2024-10-18] Open source community contributes Mistral Large Instruct 2407 (12
Scanned 10/4/2026
Skills Directorynpx -y skills add openamer/openamer --skill auto-efficiency-learning-vptq-extreme --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Auto Efficiency Learning Vptq Extreme?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/openamer-auto-efficiency-learning-vptq-extreme)More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.
---
name: auto-efficiency-learning-vptq-extreme
description: B @ 3/4 bits models [2024-10-18] Open source community contributes Mistral Large Instruct 2407 (12
auto_generated: true
created: 2026-09-15
source_insight: "Efficiency learning (VPTQ: Extreme low-bit Quantization for real LLMs): How do agents run leaner?"
status: draft
fitness_score: 0
trials: 0
wins: 0
---
# Auto Efficiency Learning Vptq Extreme
## Trigger
Use when the agent encounters: B @ 3/4 bits models [2024-10-18] Open source community contributes Mistral Large Instruct 2407 (12
## 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.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
