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# Llamacpp

Llama.cpp sees massive engagement surge driven by YouTube content creators showcasing performance optimizations and new model integrations. Discussions highlight ongoing bug fixes and comparisons with alternative AI frameworks.

### About Llamacpp
Llama.cpp is an open-source project focused on optimizing large language model inference on consumer hardware.  

### Insights
- llamacpp engagements is up 194.75% from the previous week.
- llamacpp posts created is up 292.84% from the previous year.

### Engagements: [-------] (24h)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/t:llamacpp/c:line/m:interactions/iv:1d.svg)  
[Engagements 24-Hour Time-Series Raw Data](/topic/llamacpp/time-series/interactions.tsv)  
Current Value: [-------]  
Daily Average: [------]  
[--] Week: [-------] +195%  
[--] Month: [---------] -4.50%  
[--] Months: [---------] +109%  
[--] Year: [----------] +77%  
1-Year High: [-------] on 2025-11-05  
1-Year Low: [--] on 2025-02-23  

Engagements by network (24h):
X: [-----]
YouTube: [------]
TikTok: [---]
Reddit: [-----]

  
  
### Mentions: [---] (24h)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/t:llamacpp/c:line/m:posts_active/iv:1d.svg)  
[Mentions 24-Hour Time-Series Raw Data](/topic/llamacpp/time-series/posts_active.tsv)  
Current Value: [---]  
Daily Average: [---]  
[--] Week: [---] +8.50%  
[--] Month: [-----] +55%  
[--] Months: [-----] +117%  
[--] Year: [-----] +222%  
1-Year High: [---] on 2025-11-05  
1-Year Low: [--] on 2025-03-16  

Mentions by network (24h):
X: [--]
YouTube: [--]
TikTok: [--]
Reddit: [---]

  
  
### Creators: [---] (24h)
![Creators Line Chart](https://lunarcrush.com/gi/w:600/t:llamacpp/c:line/m:contributors_active/iv:1d.svg)  
[Creators 24-Hour Time-Series Raw Data](/topic/llamacpp/time-series/contributors_active.tsv)  
[---] unique social accounts have posts mentioning Llamacpp in the last [--] hours which is down 13% from [---] in the previous [--] hours
Daily Average: [--]  
[--] Week: [---] +6.70%  
[--] Month: [---] +49%  
[--] Months: [-----] +75%  
[--] Year: [-----] +144%  
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](/creator/youtube/azisk)                           | [--]    | [-------]   | [--]    | [------]      |
| [@jeffgeerling](/creator/youtube/jeffgeerling)             | [--]    | [---------] | [--]     | [------]      |
| [@tunemusicalmoments](/creator/youtube/tunemusicalmoments) | [--]    | [---------] | [--]    | [-----]       |
| [@digitalspaceport](/creator/youtube/digitalspaceport)     | [--]    | [------]    | [--]     | [---]         |
| [@wey_gu](/creator/twitter/wey_gu)                         | [--]    | [------]    | [--]     | [---]         |
| [@0xSero](/creator/twitter/0xSero)                         | [--]    | [------]    | [--]     | [---]         |
| [@grok](/creator/twitter/grok)                             | [--]    | [---------] | [--]    | [---]         |
| [@BH3GEI_CN](/creator/twitter/BH3GEI_CN)                   | [--]    | [---]       | [--]     | [---]         |
| [@paulabartabajo_](/creator/twitter/paulabartabajo_)       | [--]    | [------]    | [--]     | [---]         |
| [@donatocapitella](/creator/youtube/donatocapitella)       | [--]   | [------]    | [--]     | [---]         |

[View More](/list/creators/llamacpp/100)
  
  
### Sentiment: 91%
![Sentiment Line Chart](https://lunarcrush.com/gi/w:600/t:llamacpp/c:line/m:sentiment/iv:1d.svg)  
[Sentiment 24-Hour Time-Series Raw Data](/topic/llamacpp/time-series/sentiment.tsv)  
Current Value: 91%  
Daily Average: 91%  
[--] Week: 86% -5%  
[--] Month: 86% -4%  
[--] Months: 86% -9%  
[--] Year: 86% -14%  
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.*

"Those benchmarks are strong. Do you have a link to a reproducible eval setup and a small set of tool calling traces especially failure cases Also curious what context length and memory footprint look like for the Unsloth release and whether it runs cleanly in vLLM or llama.cpp. https://twitter.com/i/web/status/2023050725488791970 https://twitter.com/i/web/status/2023050725488791970"  
[X Link](https://x.com/ysu_ChatData/status/2023050725488791970) [@ysu_ChatData](/creator/x/ysu_ChatData) 2026-02-15T15:04Z [----] followers, [---] engagements


"openclaw+linux(RPI5)+llm(llama.cpp).  #openclaw #linux #raspberripi #llamacpp #llm https://note.com/zephel01/n/nbc96fa30968e https://docs.openclaw.ai/concepts/model-providers https://learn.adafruit.com/openclaw-on-raspberry-pi/installing-openclaw https://note.com/zephel01/n/nbc96fa30968e https://docs.openclaw.ai/concepts/model-providers https://learn.adafruit.com/openclaw-on-raspberry-pi/installing-openclaw"  
[X Link](https://x.com/paname0971/status/2023016710970982627) [@paname0971](/creator/x/paname0971) 2026-02-15T12:49Z [--] followers, [---] engagements


"@ZShen0521 Awesome. Is it a custom architecture Is it running with llama.cpp"  
[X Link](https://x.com/PromptInjection/status/2022989265555374268) [@PromptInjection](/creator/x/PromptInjection) 2026-02-15T11:00Z [---] followers, [---] engagements


"@eelbaz I want quants that run in vllm its too slow in llama.cpp 😭"  
[X Link](https://x.com/0xSero/status/2022833472235085967) [@0xSero](/creator/x/0xSero) 2026-02-15T00:40Z 11.1K followers, [---] engagements

Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing

Llamacpp

Llama.cpp sees massive engagement surge driven by YouTube content creators showcasing performance optimizations and new model integrations. Discussions highlight ongoing bug fixes and comparisons with alternative AI frameworks.

About Llamacpp

Llama.cpp is an open-source project focused on optimizing large language model inference on consumer hardware.

Insights

  • llamacpp engagements is up 194.75% from the previous week.
  • llamacpp posts created is up 292.84% from the previous year.

Engagements: [-------] (24h)

Engagements Line Chart
Engagements 24-Hour Time-Series Raw Data
Current Value: [-------]
Daily Average: [------]
[--] Week: [-------] +195%
[--] Month: [---------] -4.50%
[--] Months: [---------] +109%
[--] Year: [----------] +77%
1-Year High: [-------] on 2025-11-05
1-Year Low: [--] on 2025-02-23

Engagements by network (24h): X: [-----] YouTube: [------] TikTok: [---] Reddit: [-----]

Mentions: [---] (24h)

Mentions Line Chart
Mentions 24-Hour Time-Series Raw Data
Current Value: [---]
Daily Average: [---]
[--] Week: [---] +8.50%
[--] Month: [-----] +55%
[--] Months: [-----] +117%
[--] Year: [-----] +222%
1-Year High: [---] on 2025-11-05
1-Year Low: [--] on 2025-03-16

Mentions by network (24h): X: [--] YouTube: [--] TikTok: [--] Reddit: [---]

Creators: [---] (24h)

Creators Line Chart
Creators 24-Hour Time-Series Raw Data
[---] unique social accounts have posts mentioning Llamacpp in the last [--] hours which is down 13% from [---] in the previous [--] hours Daily Average: [--]
[--] Week: [---] +6.70%
[--] Month: [---] +49%
[--] Months: [-----] +75%
[--] Year: [-----] +144%
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 [--] [---------] [--] [------]
@tunemusicalmoments [--] [---------] [--] [-----]
@digitalspaceport [--] [------] [--] [---]
@wey_gu [--] [------] [--] [---]
@0xSero [--] [------] [--] [---]
@grok [--] [---------] [--] [---]
@BH3GEI_CN [--] [---] [--] [---]
@paulabartabajo_ [--] [------] [--] [---]
@donatocapitella [--] [------] [--] [---]

View More

Sentiment: 91%

Sentiment Line Chart
Sentiment 24-Hour Time-Series Raw Data
Current Value: 91%
Daily Average: 91%
[--] Week: 86% -5%
[--] Month: 86% -4%
[--] Months: 86% -9%
[--] Year: 86% -14%
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.

"Those benchmarks are strong. Do you have a link to a reproducible eval setup and a small set of tool calling traces especially failure cases Also curious what context length and memory footprint look like for the Unsloth release and whether it runs cleanly in vLLM or llama.cpp. https://twitter.com/i/web/status/2023050725488791970 https://twitter.com/i/web/status/2023050725488791970"
X Link @ysu_ChatData 2026-02-15T15:04Z [----] followers, [---] engagements

"openclaw+linux(RPI5)+llm(llama.cpp). #openclaw #linux #raspberripi #llamacpp #llm https://note.com/zephel01/n/nbc96fa30968e https://docs.openclaw.ai/concepts/model-providers https://learn.adafruit.com/openclaw-on-raspberry-pi/installing-openclaw https://note.com/zephel01/n/nbc96fa30968e https://docs.openclaw.ai/concepts/model-providers https://learn.adafruit.com/openclaw-on-raspberry-pi/installing-openclaw"
X Link @paname0971 2026-02-15T12:49Z [--] followers, [---] engagements

"@ZShen0521 Awesome. Is it a custom architecture Is it running with llama.cpp"
X Link @PromptInjection 2026-02-15T11:00Z [---] followers, [---] engagements

"@eelbaz I want quants that run in vllm its too slow in llama.cpp 😭"
X Link @0xSero 2026-02-15T00:40Z 11.1K followers, [---] engagements

Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing

Llamacpp
/topic/llamacpp