ggml
Hacker ApprovedRanked 7 of 19 machine learning libraries by recommenders
Small, portable C/C++ tensor library that people rely on to run local AI models, praised for its openness and quantization work.
Small, portable C/C++ tensor library that people rely on to run local AI models, praised for its openness and quantization work.
20 people gave an opinion
- recommend it
- 19
- criticize it
- 1
- approval share
- 95%
Recommended in 6 of 13 months
- November 2025: recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: recommended
- June 2026: not recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: not recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it carries the badge
- 19 people recommend itNeeds 10 or more, met.
- 19 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 6 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Deserves sustained financial support
“I have always worried about ggml and long term prospect for them and wished for them to be rewarded for their effort.”
Comment from 20 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI” “I've been sponsoring ggml/llama.cpp/Georgi since 2023 via Github.”
Comment from 20 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI” “consistent reliable economic support”
Comment from 20 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI” Open source and quantization contributions
“They did so much work for quantization and actually made it available to everyone.”
Comment from 21 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI” “GGML & GGUF have been extremely important to the open-source ML/AI space”
Comment from 14 May 2026 in “What's in a GGUF, besides the weights – and what's still missing?” “I like the openness of both project”
Comment from 20 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI” Small, portable, fits local inference
“Keeping inference in bare-metal C/C++ without the Python bloat is the only way local AI is going to scale efficiently.”
Comment from 21 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI” “ggml turned out to be a great fit for this as it's small, portable”
Comment from 26 May 2026 on Hacker News Respected and easy to learn
“ggml, which is about as hardcore as it gets in the LLM space”
Comment from 24 Aug 2026 in “I were 17, I'd learn how to build LLMs from scratch” “Finally someone who pays proper respect to GGML ecosystem.”
Comment from 8 May 2026 in “DeepSeek 4 Flash local inference engine for Metal” “is really easy, educational and fun to use”
Comment from 14 Jul 2026 in “Tensor Is the Might”
Other machine learning libraries people recommend
The four most recommended other machine learning libraries, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
See all 19 machine learning libraries, rankedWhat people said
19 of the 20 comments that mention it, newest first. Each links to the original comment.
“she renamed the GGML format to "GGJT" after her own name”
“We are toast without ggml.”
“ggml, which is about as hardcore as it gets in the LLM space”
“this would not exist without llama.cpp and GGML”
“is really easy, educational and fun to use”
“ggml turned out to be a great fit for this as it's small, portable”
“GGML & GGUF have been extremely important to the open-source ML/AI space”
“Finally someone who pays proper respect to GGML ecosystem.”
“Keeping inference in bare-metal C/C++ without the Python bloat is the only way local AI is going to scale efficiently.”
“shows that alternatives are possible and are worthy to be pursued”
“They did so much work for quantization and actually made it available to everyone.”
“I'm optimistic the same will be true for GGML.”
“consistent reliable economic support”
“I've been sponsoring ggml/llama.cpp/Georgi since 2023 via Github.”
“I have always worried about ggml and long term prospect for them and wished for them to be rewarded for their effort.”
“One of the few acquisitions I do support”
“Seems like a great fit - kinda surprised it didn't happen sooner.”
“I like the openness of both project”
“it would maybe have been nicer to try starting from something like GGML and building on top”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.