What is this subreddit about?
The subreddit is for discussing locally run large language models.
Subreddit guides
r/LocalLLM rules, stats, and what to post
A source-backed Rankhog guide to r/LocalLLM: public rules, community context, posting fit, and startup-promotion risk before you publish.
By Anthony Riera, founder and operator of Rankhog.
Subreddit guides combine public Reddit source URLs, captured rules, visible verification dates, and Rankhog's account-safety workflow.
Current public stats
- Members
- 226,687
- Verified
- September 18, 2026
- Category
- AI builders, operators, and researchers
Rules can change, so Rankhog keeps verification dates and the original public Reddit sources visible.
Rule summary
- Off-Topic Posts: Posts must be related to the topic of LLMs.
- Low Effort Posts: Before posting a question, please spend a reasonable amount of time searching for existing questions that may provide an answer.
- Limit Self-Promotion: The 1/10th rule is a good guideline: self-promotion should not be more than 10% of your content.
- Follow Reddit's Content Policy: Please remember to follow Reddit's Content Policy.
- Do not duplicate posts under review: If your post in under review by moderators, do not spam similar posts in an attempt to get around it or you will be banned.
- Post is not local LLM related.: This subreddit is about *local* LLM usage. Other (closed) models can be discussed, but should not be the primary focus of a post.
Works well
- share a benchmark or performance comparison for running a specific local model on consumer hardware
- post a step by step guide for setting up a local LLM with a specific framework
- share an open source tool that helps people run or manage local models, with context on why you built it
- answer questions in the comments about local model setup and configuration
- write a post about optimizing local model inference on a specific GPU or CPU
Avoid
- use the subreddit as a billboard for your product with no participation elsewhere
- use the subreddit as a billboard for your product with no participation elsewhere
- use the subreddit as a billboard for your product with no participation elsewhere
- use the subreddit as a billboard for your product with no participation elsewhere
What r/LocalLLM Is For
This community is for discussing locally run large language models. People come here to talk about running LLMs on their own hardware or in their own environments. The subreddit wants posts that are directly about local LLM usage, not about closed models as the main focus.
Rules That Matter Before Posting
The rules that decide whether a marketing-adjacent post survives are "Off-Topic Posts", "Low Effort Posts", "Limit Self-Promotion", "Follow Reddit's Content Policy", "Do not duplicate posts under review", and "Post is not local LLM related."
What To Post
A good post here focuses on local LLM usage and offers real value to people running models on their own machines. If you are a founder, share something technical or useful about local models, like a benchmark, a setup guide, or a tool that helps people run LLMs locally. Build a history of helpful comments and posts before you share your own product, and keep your self promotion under 10 percent of your total activity. Make sure your post is about local models, not about closed models as the main subject.
What To Avoid
Avoid posting anything that is not related to LLMs, which the "Off-Topic Posts" rule covers. Do not ask a question without searching first, as the "Low Effort Posts" rule asks you to spend a reasonable amount of time looking for existing answers. Keep your self promotion under 10 percent, because the "Limit Self-Promotion" rule uses that as a guideline. Do not post duplicate threads if your submission is under review, because the "Do not duplicate posts under review" rule says you will be banned. Make sure your post focuses on local models rather than closed models, since the "Post is not local LLM related." rule makes that clear.
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Common questions about r/LocalLLM
Can I promote my product here?
The "Limit Self-Promotion" rule says self promotion should not be more than 10 percent of your content.
Do I need to search before asking a question?
The "Low Effort Posts" rule says to search for existing questions first before posting a new one.
Can I talk about closed models like ChatGPT?
The "Post is not local LLM related." rule says the subreddit is about local LLM usage and that closed models should not be the primary focus of a post.
What happens if my post is stuck in review?
The "Do not duplicate posts under review" rule says you will be banned if you spam similar posts to get around a review.
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