| submitted by /u/SBoots [link] [comments] |
Built myself a bit of a local llm workhorse. What's a good model to try out with llamacpp that will put my 56G of VRAM to good use? Any other fun suggestions?
Reddit r/LocalLLaMA / 4/28/2026
💬 OpinionSignals & Early TrendsTools & Practical Usage
Key Points
- A Reddit user shares that they built a local LLM setup and asks which model to try with llama.cpp to make good use of 56GB of VRAM.
- The post invites community suggestions for additional “fun” local-model ideas beyond the primary recommendation.
- The discussion is centered on practical model selection and configuration considerations for running large local LLMs efficiently.
- The core takeaway is that users with ample VRAM can experiment with higher-capacity models in llama.cpp to improve usability and performance.
- It reflects a community-driven approach to optimizing local AI deployments through peer recommendations.
Related Articles

Black Hat USA
AI Business

China’s DeepSeek prices new V4 AI model at 97% below OpenAI’s GPT-5.5
SCMP Tech

I built Dispatch AI. I just wanted to share it. If you find it cool, take a look and leave a comment.
Dev.to

Replit AI Agent: Practical Guide for Dev Workflows
Dev.to

Open source Xiaomi MiMo-V2.5 and V2.5-Pro are among the most efficient (and affordable) at agentic 'claw' tasks
VentureBeat