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r/LocalLLM is a subreddit with 54k members. Its distinguishing qualities are that the community is large in size, and has high activity.
Subreddit to discuss about locally run large language models and related topics.
Popular Themes in r/LocalLLM
#1
Solution Requests
: "Cost-effective 70b 8-bit Inference Rig"
23 posts
#2
Advice Requests
: "Struggling with Local LLMs, what's your use case?"
7 posts
#3
Ideas
: "What should I build with this?"
4 posts
#4
Money Talk
: "Finally joined the club. $900 on FB Marketplace. Where to start???"
3 posts
#5
Self-Promotion
: "How I Built an Open Source AI Tool to Find My Autoimmune Disease (After $100k and 30+ Hospital Visits) - Now Available for Anyone to Use"
3 posts
#6
Pain & Anger
: "Rtx 5090 is painful"
2 posts
#7
News
: "You can now run models on the neural engine if you have mac"
1 post
Popular Topics in r/LocalLLM
#1
Llm
: "I built and open sourced a desktop app to run Llms locally with built-in RAG knowledge base and note-taking capabilities."
88 posts
#2
Model
: "You can now train your own Reasoning Model locally with just 5GB VRAM!"
58 posts
#3
Local
: "I built and open sourced a desktop app to run LLMs Locally with built-in RAG knowledge base and note-taking capabilities."
49 posts
#4
Ai
: "How I Built an Open Source Ai Tool to Find My Autoimmune Disease (After $100k and 30+ Hospital Visits) - Now AvAilable for Anyone to Use"
43 posts
#5
Gpu
: "Deployed Deepseek R1 70B on 8x RTX 3080s: 60 tokens/s for just $6.4K - making AI inference accessible with consumer Gpus"
20 posts
#6
Mac
: "You can now run models on the neural engine if you have Mac"
10 posts
#7
Training
: "Results&Explanation of NSA - DeepSeek Introduces Ultra-Fast Long-Context Model Training and Inference"
9 posts
#8
Deepseek
: "Deepseek might not be as disruptive as claimed, firm reportedly has 50,000 Nvidia GPUs and spent $1.6 billion on buildouts"
6 posts
#9
Coding
: "LLM for Coding Swift/Python"
6 posts
#10
Hardware
: "Best (scalable) Hardware to run a ~40GB model?"
6 posts
Member Growth in r/LocalLLM
Yearly
+49k members(1120.9%)
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