Meta's open-source models remain locked behind legal delays
10 posts in the last 90 days, all from r/LocalLLaMA.
“I can't modify, study and share freeware. I can modify, study and share Deepseek weights, so no, it's not akin to freeware, it's akin to FOSS.”
“I'm not sure what is so holding Meta off Legal reasons, most probably. With open weights, they can't control who accesses their models and their uses, can't prevent third parties from analyzing what sort of training data they might have included this time around. They already…”
“Dafuq u say? Llama was one of the first openweight llms. So was gpt2. So is whisper. So is inkling. So were yolo models before ultralitics in cv. It just doesn't make sense to go open-weight if you're leading the race”
Despite announcements, Meta continues to withhold open-source model releases due to legal and safety team restrictions. Users anticipate region-limited or crippled versions that fail to deliver promised capabilities like multimodal reasoning.
SOURCES (13)
“Every time I check the top models on HF, I basically feel like this: submitted by /u/cyber_burr [link] [comments]”
“Dafuq u say? Llama was one of the first openweight llms. So was gpt2. So is whisper. So is inkling. So were yolo models before ultralitics in cv. It just doesn't make sense to go open-weight if you're leading the race”
“I am still waiting for Llama 5, because Muse Spark will be too big for me, or just something between Glimmer and Spark https://x.com/finkd/status/2095232032896946311 submitted by /u/jacek2023 [link] [comments]”
“I love to see these impressive models coming out that compete with the giants from companies like Z.ai, Moonshot, Alibaba, etc. A win for the open source/weight community is always welcome. While I am grateful, I worry we might be seeing the slow death of models smaller than 27B. The ones released paling in comparison to Qwen 3.5 4B/9B and Gemma 4 12B. Especially for agentic coding and agentic assistance tasks. Is this because we’ve really hit the limit of what we can accomplish with models in t”
“I can't modify, study and share freeware. I can modify, study and share Deepseek weights, so no, it's not akin to freeware, it's akin to FOSS.”
“> (3) Just as open source drove the democratization of software, open weights actually pulled off the democratization of access to advanced AI. That’s when I realized, okay, fine, I’m on board. > (4) And now? This epidemic of fake, gaslighting open weights. Dropping a bloated, un-runnable 3T parameter leviathan that no living human can spin up locally, just to squeeze out some pathetic marketing clout. Kimi is one of them. Big opensource projects was not about individuals, but about corpor”
“I'm expecting yet another region-limited disappointment crippled by the legal & safety team. (Llama 4 was supposed to be a spiritually early Grok-like, omnimodal model with reasoning and with smaller sizes available too. The early versions tested on LM Arena were at least fun to chat with.)”
“I'm not sure what is so holding Meta off Legal reasons, most probably. With open weights, they can't control who accesses their models and their uses, can't prevent third parties from analyzing what sort of training data they might have included this time around. They already have a few lawsuits for using copyrighted books, videos, personal data, etc. I'm sure somebody else will come up with even more reasons to sue Meta since it's the biggest target.”