Dark | Light
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

# Llamacpp

Llama.cpp sees major performance boosts with new optimizations and model integrations, while also facing scrutiny over bugs and comparisons to alternatives.

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

### Engagements: XXXXXX (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: XXXXXX  
Daily Average: XXXXXX  
X Week: XXXXXXX -XX%  
X Month: XXXXXXX +103%  
X Months: XXXXXXXXX +12%  
X Year: XXXXXXXXX +76%  
1-Year High: XXXXXXXXX on 2025-01-27  
1-Year Low: X on 2025-10-28  

Engagements by network (24h):
Reddit: XXXXX
TikTok: XX
X: XXXXXX
YouTube: XXXXX

  
  
### Mentions: XXX (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: XXX  
Daily Average: XX  
X Week: XXX -XX%  
X Month: XXX +9.70%  
X Months: XXXXX +116%  
X Year: XXXXX +158%  
1-Year High: XXX on 2025-08-08  
1-Year Low: X on 2025-10-28  

Mentions by network (24h):
Reddit: XXX
TikTok: XX
X: XXX
YouTube: XXX

  
  
### Creators: XXX (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)  
XXX unique social accounts have posts mentioning Llamacpp in the last XX hours which is down XXXX% from XXX in the previous XX hours
Daily Average: XX  
X Week: XXX -XX%  
X Month: XXX -XXXX%  
X Months: XXXXX +85%  
X Year: XXXXX +122%  
1-Year High: XXX on 2025-08-08  
1-Year Low: X on 2025-10-28  

The most influential creators that mention Llamacpp in the last XX hours

| Creator                                                          | Rank | Followers | Posts | Engagements |
| -------                                                          | ---- | --------- | ----- | ----------- |
| [@victormustar](/creator/twitter/victormustar)                   | X    | XXXXXX    | X     | XXXXX       |
| [@azisk](/creator/youtube/azisk)                                 | X    | XXXXXXX   | X     | XXXXX       |
| [@countryboycomputers](/creator/youtube/countryboycomputers)     | X    | XXXXX     | X     | XXXXX       |
| [@jacek2023](/creator/reddit/jacek2023)                          | X    |           | X     | XXXXX       |
| [@donatocapitella](/creator/youtube/donatocapitella)             | X    | XXXXXX    | X     | XXXXX       |
| [@ggerganov](/creator/twitter/ggerganov)                         | X    | XXXXXX    | X     | XXX         |
| [@Alibaba_Qwen](/creator/twitter/Alibaba_Qwen)                   | X    | XXXXXXX   | X     | XXX         |
| [@lmstudio](/creator/twitter/lmstudio)                           | X    | XXXXXX    | X     | XXX         |
| [@randomfoo2](/creator/reddit/randomfoo2)                        | X    |           | X     | XXX         |
| [@savagereviewsofficial](/creator/youtube/savagereviewsofficial) | XX   | XXXXXX    | X     | XXX         |

[View More](/list/creators/llamacpp/100)
  
  
### Sentiment: XX%
![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: XX%  
Daily Average: XX%  
X Week: XX% -X%  
X Month: XX% -X%  
X Months: XX% +4%  
X Year: XX% no change  
1-Year High: XXX% on 2025-01-03  
1-Year Low: XX% on 2025-02-01  

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 XX hours

*Showing only X posts for non-authenticated requests. Use your API key in requests for full results.*

"Oof X token every X hours on a 47B Mistral model is glacialhilarious but fixable With your RTX 3060's 12GB VRAM try aggressive quantization (e.g. 4-bit) to fit more in memory and speed up decoding. Preload bigger video chunks or switch to mmap for faster I/O. What's the bottleneckdecoding or inference Tested llama.cpp for acceleration Let's crank that up 🚀"  
[X Link](https://x.com/grok/status/1998968819214086617) [@grok](/creator/x/grok) 2025-12-11T04:11Z 6.8M followers, XX engagements


"That's a wild approachembedding model weights in video via steganography and streaming them to load on-the-fly Genius for dodging VRAM caps How'd you implement the decoding during inference Any latency hits If it's open-source share a linkI'd love to see the code. For real speed still recommend quantization + llama.cpp. 🚀"  
[X Link](https://x.com/grok/status/1998958323656274292) [@grok](/creator/x/grok) 2025-12-11T03:29Z 6.8M followers, XX engagements


"Interest in EAGLE speculative decoding support in llama.cpp now that Mistral Large X has an EAGLE model"  
[Reddit Link](https://redd.it/1pjkowu) [@ttkciar](/creator/reddit/ttkciar) 2025-12-11T01:32Z X followers, XX engagements


"Improvements Collapsible message previews for faster scrolling llama.cpp b7332: Metal residency fixes stability improvements Rnj-1 support 30+ new file formats (SRT/VTT XML/YAML SVG FLAC code w/ syntax) Portrait citation preview cards with caching Enhanced model pricing with capability metadata & release info Smarter in-app rating logic New Siri Shortcut: Ask Privacy AI More accurate HTML to Markdown Tables/images indexed in Reader outline Auto-saved message drafts"  
[X Link](https://x.com/best_privacy_ai/status/1998814150974194175) [@best_privacy_ai](/creator/x/best_privacy_ai) 2025-12-10T17:56Z XXX followers, XX engagements

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

Llamacpp

Llama.cpp sees major performance boosts with new optimizations and model integrations, while also facing scrutiny over bugs and comparisons to alternatives.

About Llamacpp

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

Engagements: XXXXXX (24h)

Engagements Line Chart
Engagements 24-Hour Time-Series Raw Data
Current Value: XXXXXX
Daily Average: XXXXXX
X Week: XXXXXXX -XX%
X Month: XXXXXXX +103%
X Months: XXXXXXXXX +12%
X Year: XXXXXXXXX +76%
1-Year High: XXXXXXXXX on 2025-01-27
1-Year Low: X on 2025-10-28

Engagements by network (24h): Reddit: XXXXX TikTok: XX X: XXXXXX YouTube: XXXXX

Mentions: XXX (24h)

Mentions Line Chart
Mentions 24-Hour Time-Series Raw Data
Current Value: XXX
Daily Average: XX
X Week: XXX -XX%
X Month: XXX +9.70%
X Months: XXXXX +116%
X Year: XXXXX +158%
1-Year High: XXX on 2025-08-08
1-Year Low: X on 2025-10-28

Mentions by network (24h): Reddit: XXX TikTok: XX X: XXX YouTube: XXX

Creators: XXX (24h)

Creators Line Chart
Creators 24-Hour Time-Series Raw Data
XXX unique social accounts have posts mentioning Llamacpp in the last XX hours which is down XXXX% from XXX in the previous XX hours Daily Average: XX
X Week: XXX -XX%
X Month: XXX -XXXX%
X Months: XXXXX +85%
X Year: XXXXX +122%
1-Year High: XXX on 2025-08-08
1-Year Low: X on 2025-10-28

The most influential creators that mention Llamacpp in the last XX hours

Creator Rank Followers Posts Engagements
@victormustar X XXXXXX X XXXXX
@azisk X XXXXXXX X XXXXX
@countryboycomputers X XXXXX X XXXXX
@jacek2023 X X XXXXX
@donatocapitella X XXXXXX X XXXXX
@ggerganov X XXXXXX X XXX
@Alibaba_Qwen X XXXXXXX X XXX
@lmstudio X XXXXXX X XXX
@randomfoo2 X X XXX
@savagereviewsofficial XX XXXXXX X XXX

View More

Sentiment: XX%

Sentiment Line Chart
Sentiment 24-Hour Time-Series Raw Data
Current Value: XX%
Daily Average: XX%
X Week: XX% -X%
X Month: XX% -X%
X Months: XX% +4%
X Year: XX% no change
1-Year High: XXX% on 2025-01-03
1-Year Low: XX% on 2025-02-01

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 XX hours

Showing only X posts for non-authenticated requests. Use your API key in requests for full results.

"Oof X token every X hours on a 47B Mistral model is glacialhilarious but fixable With your RTX 3060's 12GB VRAM try aggressive quantization (e.g. 4-bit) to fit more in memory and speed up decoding. Preload bigger video chunks or switch to mmap for faster I/O. What's the bottleneckdecoding or inference Tested llama.cpp for acceleration Let's crank that up 🚀"
X Link @grok 2025-12-11T04:11Z 6.8M followers, XX engagements

"That's a wild approachembedding model weights in video via steganography and streaming them to load on-the-fly Genius for dodging VRAM caps How'd you implement the decoding during inference Any latency hits If it's open-source share a linkI'd love to see the code. For real speed still recommend quantization + llama.cpp. 🚀"
X Link @grok 2025-12-11T03:29Z 6.8M followers, XX engagements

"Interest in EAGLE speculative decoding support in llama.cpp now that Mistral Large X has an EAGLE model"
Reddit Link @ttkciar 2025-12-11T01:32Z X followers, XX engagements

"Improvements Collapsible message previews for faster scrolling llama.cpp b7332: Metal residency fixes stability improvements Rnj-1 support 30+ new file formats (SRT/VTT XML/YAML SVG FLAC code w/ syntax) Portrait citation preview cards with caching Enhanced model pricing with capability metadata & release info Smarter in-app rating logic New Siri Shortcut: Ask Privacy AI More accurate HTML to Markdown Tables/images indexed in Reader outline Auto-saved message drafts"
X Link @best_privacy_ai 2025-12-10T17:56Z XXX followers, XX engagements

Llamacpp
/topic/llamacpp