r/LocalLLM

Community Overview

About r/LocalLLM

Subreddit to discuss locally run large language models.

The community at a glance

r/LocalLLM is a Subreddit for NLP Developers with roughly 236K members. It has been around since 2023. It uses a forum format for communication. On the Hive Index it ranks #8 in the NLP communities list.

Roughly 148K members have joined in the past year. Popular discussion topics include Ai, Local, and Model. Product recommendations often mention model, llm, and gpu.

On Reddit
Established 2023
236K Members

Community Features

This community has a forum

Subreddit Analysis

via GummySearch
Yearly: +148K members
Growth: +167.8% / year

Member growth over time

All time (yearly)

  • 2024: 13K members
  • 2025: 86K members
  • 2026: 133K members

Past year (monthly)

  • Nov: 6K members
  • Dec: 5K members
  • Jan: 7K members
  • Feb: 10K members
  • Mar: 11K members
  • Apr: 17K members
  • May: 17K members
  • Jun: 16K members
  • Jul: 14K members
  • Aug: 22K members
  • Sep: 19K members
  • Oct: 911 members

Topics

  • Ai
    15 posts in the past month
    #1
    Ai
    15
  • Local
    13 posts in the past month
    #2
    Local
    13
  • Model
    12 posts in the past month
    #3
    Model
    12
  • Llm
    11 posts in the past month
    #4
    Llm
    11
  • Struggling
    6 posts in the past month
    #5
    Struggling
    6

Flair

  • Question
    31 posts in the past month
    1. Who’s the current “king” of local LLMs for you — Qwen, Gemma, Llama, something else?
    2. Tear my work apart I don't care
    3. Optimizing dual AMD r9700 setup
    #1
    Question
    Who’s the current “king” of local LLMs for you — Qwen, Gemma, Llama, something else? · Tear my work apart I don't care · Optimizing dual AMD r9700 setup
    31
  • Discussion
    19 posts in the past month
    1. I wired my M5 and M1 Macs over Thunderbolt to command a serverless cloud swarm (80gb A100). Just hit 219k tok/s with 0 GB host RAM impact.
    2. Splash vs oMLX on the same uncensored Qwen3.8-27B on M3 MAX, 48 GB MBP
    3. I think I'm using Apple foundation model like JEV
    #2
    Discussion
    I wired my M5 and M1 Macs over Thunderbolt to command a serverless cloud swarm (80gb A100). Just hit 219k tok/s with 0 GB host RAM impact. · Splash vs oMLX on the same uncensored Qwen3.8-27B on M3 MAX, 48 GB MBP · I think I'm using Apple foundation model like JEV
    19
  • Project
    17 posts in the past month
    1. I "built" a local LLM radio like the Pharaohs built the pyramids
    2. bobcat now runs Cloudflare's Clef-Flash on Apple silicon
    3. Local LLMs on Pixel 9 pro
    #3
    Project
    I "built" a local LLM radio like the Pharaohs built the pyramids · bobcat now runs Cloudflare's Clef-Flash on Apple silicon · Local LLMs on Pixel 9 pro
    17
  • News
    7 posts in the past month
    1. NEW WEB PLANS (offical website)
    2. Exclusive: Google expands pilot program that pays developers and small businesses for proprietary, offline code (and other data)
    3. A new AI model just showed up on DEV·TV
    #4
    News
    NEW WEB PLANS (offical website) · Exclusive: Google expands pilot program that pays developers and small businesses for proprietary, offline code (and other data) · A new AI model just showed up on DEV·TV
    7
  • Model
    6 posts in the past month
    1. inferencia de qwen 3.8 27b uncensored gratuita pro tempo limitado. provalmente até as meia noite no maximo.
    2. Not bad for a 4060ti 16gb with 32gb ddr4
    3. When Qwen 3.8 27B continues after Grok 4.7 xhigh gave up
    #5
    Model
    inferencia de qwen 3.8 27b uncensored gratuita pro tempo limitado. provalmente até as meia noite no maximo. · Not bad for a 4060ti 16gb with 32gb ddr4 · When Qwen 3.8 27B continues after Grok 4.7 xhigh gave up
    6

Product recommendations

  • model
    16 posts in the past month
    1. Best models for 8x3090
    2. What the best model to run on m1 pro, 16gb ram for coders?
    3. best model for laptop and ram?
    #1
    model
    Best models for 8x3090 · What the best model to run on m1 pro, 16gb ram for coders? · best model for laptop and ram?
    16
  • llm
    9 posts in the past month
    1. Best ultra low budget GPU for 70B and best LLM for my purpose
    2. Best LocalLLM for scientific theories and conversations?
    3. Best LLM to run locally on LM Studio (4GB VRAM) for extracting credit card statement PDFs into CSV/Excel?
    #2
    llm
    Best ultra low budget GPU for 70B and best LLM for my purpose · Best LocalLLM for scientific theories and conversations? · Best LLM to run locally on LM Studio (4GB VRAM) for extracting credit card statement PDFs into CSV/Excel?
    9
  • gpu
    4 posts in the past month
    1. Best ultra low budget GPU for 70B and best LLM for my purpose
    2. GPU recommendation for best possible LLM/AI/VR with 3000+€ budget
    3. Best Used Card For Running LLMS
    #3
    gpu
    Best ultra low budget GPU for 70B and best LLM for my purpose · GPU recommendation for best possible LLM/AI/VR with 3000+€ budget · Best Used Card For Running LLMS
    4

Frequently asked questions

Who is r/LocalLLM for?
Best for NLP Developers enthusiasts looking for a Reddit-based community with forum discussion.
Is r/LocalLLM free to join?
This listing is not marked as paid-only. Access rules and any fees are decided by the community.
How many members does r/LocalLLM have?
Roughly 236K members, based on figures reported by the community or its host. Member counts are approximate and change over time.
What platform is r/LocalLLM on?
r/LocalLLM runs on Reddit. Reddit communities (or "subreddits") are forum-based groups on the popular social news aggregation, web content rating, and discussion website Reddit. Reddit is commonly known as "the front page of the internet". Users submit content to the site such as links, text posts, and images, which are then voted up or down and discussed by other members. From investing Reddit communities, to professional ones, to ones just for laughs, you're likely to find a community for you on Reddit.
What topics does r/LocalLLM cover?
On the Hive Index, r/LocalLLM is organized under NLP Developers.
How do I join r/LocalLLM?
You can join r/LocalLLM by clicking this link, or pressing the "Go to community" button above.
What are the NLP communities like?
Join NLP communities online to discuss and learn about the latest developments in language learning technology. You'll be able to chat with like-minded engineers and data scientists about the newest machine learning methods, from NLP to neural networks.