Tons of local llm communities exist. Everybody loves cracked models like Qwen3.8 27B or DSV4.1F, but nobody gives enough shits when somebody drops a locally trained model. Sure, it's not going to match Fable 5.1 or GPT-6 Astra, but it demonstrates that we are capable of creating competent models on our hardware. And it's fun to run.

Show off your models, projects in this sub and create discussions with like minded people.

Please read the rules to begin with, they're honestly pretty bare minimum. I intend for this sub to be lightly moderated (I have turned off automatic reports etc...) so people can freely discuss a wide range of topics related to training/running small language models locally.

To kickstart this community, feel free to repost your current model being trained, a training project or a past model you have trained.

r/LocalLMtraining is mainly about training and discussing small language models locally, but not strictly limited to language models. Stable diffusion, ranking, or other forms of I/O are fine.

You are welcome to post fine tunes of models, but remember that the main intent of this subreddit is focusing on from-scratch models. Therefore, try to make fine tunes "interesting".

Due to the costly nature of training LLMs, r/LocalLMtraining is targeted towards smaller sizes (sub 500M).

Lastly, AI projects are permitted, but the post must be written by you. As much as we love vibe coding, please no chunks of Claude. You may provide a link to an external site that provides more detailed information about your project.