Meta Llama

“for the good they did releasing Torch, FastText vectors, and the LLaMa models among others for free”

“Llama 3.2 3B was least-bad at "notice a pattern without sounding like a fortune cookie."”

“at slow-ish (10-20 tok/sec at Q4?) but OK speeds on 12 year old DDR3 ECC Xeon machine”

“Gemma 4 (April), Llama (April), and gpt-oss (August 2025) are up to date, but old (for models).”

“It's source-available, but still proprietary, under terms that (among other things) say "no competing with us, you have to buy a license for that".”

“kick off the origin of the open source race back in 2023 with the release of llama”

“Meta initiated both pytorch and llama which have had profoundly positive effects on AI research”

“To me, Llama was the ONLY successful thing they did it. it was when they stopped that they fell off the radar as an interesting AI company.”

“Llama was revolutionary for sticking the landing without being entirely lobotomized”

“Meta went from being widely respected and considered a peer with leading frontier labs to having no competitive technology.”

“llama is not open source. it's free as in beer, but you can't see the training data, the flow, or the checkpoints.”

“Llama was one of the greatest things and gave me real hope for an open source AI future”

“Llama was great for research and propelling the opensource community but they haven't been a serious competitor in a while.”

“even "old" models like llama 3.2, gemma 2, qwen 2.5, are good, fast and low-memory”

“I don't know what to credit Meta for in the AI era except some of the LLAMA tooling and some open weights LLMs.”

“it really felt like Meta had the lead in LLMs, especially during the early LLaMa days”

“I don’t get how LLaMa 4 was such a big train wreck”

“Concentrating on LMAreana cost Meta many hundreds of billions of dollar and lots of people their jobs with the Lllama4 disaster.”

“Meta's guardrails lasted exactly one week before the community figured out weight abliteration”

“Real boost to the OS/OW models movement, they have been leading it for a while after that.”

“Even if we just ignore Llama, Meta invented and released so many foundational research and open source code.”

“llama models pushed the envelope for a while, and having them "open-weight" allowed a lot of tinkering”

“It was the first notable open weights model, and paved the way for all the others.”

“this model successfully created functional, separate replicas of itself in 50% of experimental trials”

“Llama 3.1 8B can do lots of things today and it'll still be able to do those things tomorrow.”

“Llama3.1 8B might be a little too old to be directly useful for e.g. coding but it certainly gets the gears turning”

“LLMs that we know as "math" models, significantly outperformed LLMs that we know as "abstract reasoning" models”

“forgive Zuckerberg for a lot of of the stuff he did based on what did with llama by 'releasing' it”

“Worked surprisingly well and I didn't get any sycophancy or cliched AI responses.”

“despite its poor performance and reception, some of the things they achieved technically were solid”

“A local pipeline with Whisper and Llama 3 is viable now and solves the privacy issue.”

“I started using Meta-LLama-3-8B in april 2024 with Python and Transformers for each text chunk”

“deep, high-quality inference can be surprisingly cheap and predictable if you design for it intentionally”

“The Llama 4 models were instruct models at a time when everyone was hyped about and expecting reasoning models.”

“quality research for free for years like PyTorch, FastText vectors, and the LLaMa models”

“Llama, Stable Diffusion, and Wan Video are a glimpse of what's to come with local AI.”

“I run a quantized 70 billion parameter llama 3.1 model on my framework 13 inch laptop.”

“They are, and as such they monetise the work of original authors without their consent, compensation”

“these models are just so ahead of things like Qwen and Llama for the types of semi-complex non-coding tasks”

“they were trained using data scraped at an industrial scale, contributing to degradation of the Web for humans”