LocalLLaMA is a community subreddit focused on running and sharing models locally. Recent coverage highlights a new model-download site called “The Hugging Bay,” users reporting models that work on 12GB VRAM (notably Qwen 3.6 35B 3A), the release of a music model YuE2-3B, and community posts advising against FOMO-driven spending and suggesting [Finetune] tagging.
Censorship Begins on HuggingFaceA LocalLLaMA Reddit post reports that HuggingFace has begun censoring certain models, citing audnai/penclaw-GLM-5.3-abliterated-for-offensive-cy as an example. The community says disabled messages should be more specific.
The Hugging Bay launches model download siteA Reddit post announces “The Hugging Bay,” a new website offering model downloads as a backup if Hugging Face begins censoring or restricting access. The post appeared on r/LocalLLaMA by /u/Thrumpwart.
Seeking models for 12GB VRAM GPUsA Reddit LocalLLaMA thread asks 12GB VRAM 3080 users what models work well locally; Qwen 3.6 35B 3A was cited as common, and the OP seeks models that leverage the extra 4GB for agent-style personal assistant workflows.
Music model YuE2-3B releasedA r/LocalLLaMA user shared a new music model, YuE2-3B, with an online demo link and described it as solid. The post links to the demo but gives no further details on training or weights.
Advice for hobbyists: don’t let FOMO drive local LLM spendingAdvice to hobbyists: don’t let FOMO drive costly local LLM setups—learn via APIs or small models that fit existing hardware; you can gain more by doing less rather than buying expensive GPUs.
Suggest distinguishing finetunes from major 'new model' postsA community member suggests distinguishing major 'new model' releases from smaller finetunes by tagging or prefixing finetune posts (e.g., '[Finetune]') so 'new model' is reserved for substantial pretrained or major updates.
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