[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 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 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 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 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.]
Llama.cpp sees major performance boosts with new optimizations and model integrations, while also facing scrutiny over bugs and comparisons to alternatives.
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 +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 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 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 |
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:
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.
"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
/topic/llamacpp