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Llama.cpp sees a surge in activity with new Ollama-style model management and performance optimizations across various hardware, including AMD and NVIDIA GPUs. Discussions highlight its growing capabilities and integration with other AI frameworks, though some users report minor bugs.
Llama.cpp is an open-source project focused on optimizing large language model inference on consumer hardware.
Engagements 24-Hour Time-Series Raw Data
Current Value: XXXXXX
Daily Average: XXXXXX
X Week: XXXXXXX -XX%
X Month: XXXXXXX +119%
X Months: XXXXXXXXX +12%
X Year: XXXXXXXXX +78%
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 24-Hour Time-Series Raw Data
Current Value: XXX
Daily Average: XX
X Week: XXX -XXXX%
X Month: XXX +18%
X Months: XXXXX +117%
X Year: XXXXX +161%
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 24-Hour Time-Series Raw Data
XXX unique social accounts have posts mentioning Llamacpp in the last XX hours which is up XXXX% from XXX in the previous XX hours
Daily Average: XX
X Week: XXX -XXXX%
X Month: XXX -XXXX%
X Months: XXXXX +86%
X Year: XXXXX +123%
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 | XXXXXX |
| @azisk | X | XXXXXXX | X | XXXXX |
| @donatocapitella | X | XXXXXX | X | XXX |
| @paf1138 | X | XXXXX | X | XXX |
| @Alibaba_Qwen | X | XXXXXXX | X | XXX |
| @countryboycomputers | X | XXXXX | X | XXX |
| @ggerganov | X | XXXXXX | X | XXX |
| @savagereviewsofficial | X | XXXXXX | X | XXX |
| @randomfoo2 | X | XXXXXX | X | XXX |
| @thebadslime | XX | XXXXXXX | X | XXX |
Sentiment 24-Hour Time-Series Raw Data
Current Value: XX%
Daily Average: XX%
X Week: XX% +3%
X Month: XX% -X%
X Months: XX% +11%
X Year: XX% +9%
1-Year High: XXX% on 2025-01-03
1-Year Low: XX% on 2025-02-01
Most Supportive Themes:
Most Critical Themes:
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.
"Evening fun with Grace and Hopper unified memory or how to speed up llama.cpp and DeepSeek V3.1 on NVIDIA GH200"
Reddit Link @fairydreaming 2025-12-12T20:19Z X followers, XX engagements
"Llama.cpp MI50 (gfx906) running on Ubuntu XXXXX notes"
Reddit Link @bigattichouse 2025-12-12T15:55Z X followers, XX engagements
"Please you need to focus more on helping optimize purely C/C++ based inference engines like SD.cpp and Llama.cpp MNN etc. Once performance becomes comparable practicality will always win for the consumer. Stacks built on layers of dependencies Python and heavy libraries have no place in a future where every drop of performance matters"
X Link @DanNEO_SS 2025-12-12T15:08Z 1911 followers, XX engagements
"🎉 llama.cpp now has Ollama-style model management. Auto-discover GGUFs from cache Load on first request Each model runs in its own process Route by model (OpenAI-compatible API) LRU unload at --models-max"
X Link @victormustar 2025-12-12T14:20Z 21.4K followers, 16.4K engagements