Llamacpp
Llama.cpp sees a massive surge in mentions and engagements, with creators highlighting performance optimizations and new model integrations. However, some users are still reporting bugs and comparing it to alternatives.
About Llamacpp
Llama.cpp is an open-source project focused on optimizing large language model inference on consumer hardware.
Insights
- llamacpp mentions hit [---] which is 199% higher than it's daily average.
- llamacpp creators hit [---] which is 149% higher than it's daily average.
- llamacpp engagements is up 153.64% from the previous week.
Engagements: [------] (24h)
Engagements 24-Hour Time-Series Raw Data
Current Value: [------]
Daily Average: [------]
[--] Week: [-------] +154%
[--] Month: [---------] +38%
[--] Months: [---------] +104%
[--] Year: [----------] +81%
1-Year High: [-------] on 2025-11-05
1-Year Low: [--] on 2025-02-23
Engagements by network (24h): YouTube: [------] X: [------] Reddit: [-----] TikTok: [---]
Mentions: [---] (24h)
Mentions 24-Hour Time-Series Raw Data
Current Value: [---]
Daily Average: [---]
[--] Week: [---] +9.30%
[--] Month: [-----] +56%
[--] Months: [-----] +116%
[--] Year: [-----] +221%
1-Year High: [---] on 2025-11-05
1-Year Low: [--] on 2025-03-16
Mentions by network (24h): YouTube: [---] X: [--] Reddit: [---] TikTok: [--]
Creators: [---] (24h)
Creators 24-Hour Time-Series Raw Data
[---] unique social accounts have posts mentioning Llamacpp in the last [--] hours which is up 17% from [---] in the previous [--] hours
Daily Average: [--]
[--] Week: [---] +6.30%
[--] Month: [---] +50%
[--] Months: [-----] +75%
[--] Year: [-----] +145%
1-Year High: [---] on 2025-11-05
1-Year Low: [--] on 2025-03-16
The most influential creators that mention Llamacpp in the last [--] hours
| Creator | Rank | Followers | Posts | Engagements |
|---|---|---|---|---|
| @azisk | [--] | [-------] | [--] | [------] |
| @jeffgeerling | [--] | [---------] | [--] | [------] |
| @xcreate | [--] | [------] | [--] | [-----] |
| @tunemusicalmoments | [--] | [---------] | [--] | [-----] |
| @morganlinton | [--] | [------] | [--] | [-----] |
| @grok | [--] | [---------] | [--] | [---] |
| @digitalspaceport | [--] | [------] | [--] | [---] |
| @fahdmirza | [--] | [------] | [--] | [---] |
| @savagereviewsofficial | [--] | [------] | [--] | [---] |
| @countryboycomputers | [--] | [-----] | [--] | [---] |
Sentiment: 92%
Sentiment 24-Hour Time-Series Raw Data
Current Value: 92%
Daily Average: 91%
[--] Week: 86% -9%
[--] Month: 90% +3%
[--] Months: 90% -3%
[--] Year: 90% +7%
1-Year High: 100% on 2025-03-03
1-Year Low: 42% on 2025-10-07
Most Supportive Themes:
- Performance Optimizations: (30%) Llama.cpp is being optimized for various hardware, including AMD Radeon devices, leading to improved inference speeds.
- Model Integration and Support: (25%) New models are being supported and integrated into llama.cpp, enhancing its capabilities and user experience.
- Framework and Tool Integration: (20%) Llama.cpp is being integrated with popular AI frameworks like Hugging Face and Ollama, simplifying its use for developers.
Most Critical Themes:
- Bugs and Memory Issues: (15%) Some users are reporting bugs and memory allocation issues when using llama.cpp, leading them to switch to alternative solutions.
- Comparison with Alternatives: (10%) Discussions often compare llama.cpp's performance and features against alternatives like Ollama and vLLM, highlighting areas for improvement.
Top Llamacpp Social Posts
Top posts by engagements in the last [--] hours
Showing a maximum of [--] top social posts without a LunarCrush subscription.
"@mrdoob Are you running it locally I'm experimenting with running minimax [---] on my [----] to do some "slow-but-steady" work. My docker-compose for running minimax-m2.5/minimax-m2.5-Q4_K_M.gguf with llama.cpp: https://gist.github.com/michaelgold/086755bc6d5d3b943fe4e6f371182481 https://gist.github.com/michaelgold/086755bc6d5d3b943fe4e6f371182481"
X Link @michaelgold 2026-02-17T15:40Z [----] followers, [---] engagements
"Very special to work with our @huggingface friends to bring Tiny Aya the most capable multilingual open-weight model at its scale to the world 🚀 Big thanks to @ngxson for the huge help merging the changes into llama.cpp"
X Link @Cohere_Labs 2026-02-17T12:00Z 25.7K followers, [----] engagements
"Let's Run Qwen-3.5 - Local AI HERO Model for OpenClaw Writing Coding & More Qwen are back with large hero model Qwen-3.5 featuring chart topping instruction following another benchmark topping tool following benchmarks that apparently beats ChatGPT & Claude. So let's see how well it performs locally. TEST SYSTEM Inferencer App v1.10.2: https://inferencer.com [----] M3 Ultra Mac Studio 512GB RAM Q9: https://huggingface.co/inferencerlabs/Qwen3.5-397B-A17B-MLX-9bit Parallels Virtual Machine: https://vtudio.com/a/parallels Local AI Image Gen: https://xcreate.com BUY NOW Mac Studio:"
YouTube Link @xcreate 2026-02-16T23:57Z 19K followers, [----] engagements
"GLM [--] on cluster of Mac Studios I wired four Mac Studios together and loaded a [--] Trillion parameter LLM. 🛒 Gear Links 🛒 🏢 The rack in this video: tall version- https://amzn.to/4cvsfk3 short version - https://amzn.to/4j6Nuv4 🪛🪛Highly rated precision driver kit: https://amzn.to/4fkMVfg 💻☕ Favorite 15" display with magnet: https://amzn.to/3zD1DhQ 🎧⚡ Great 40Gbps T4 enclosure: https://amzn.to/3JNwBGW 🛠🚀 My nvme ssd: https://amzn.to/3YLEySo 📦🎮 My gear: https://www.amazon.com/shop/alexziskind 🎥 Related Videos 🎥 🧳🧰 Mini PC portable setup - https://youtu.be/4RYmsrarOSw 🍎💻 Dev setup"
YouTube Link @azisk 2026-02-16T17:39Z 444K followers, 13.9K engagements
Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing