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r/LocalLLM is a subreddit with 41k members. Its distinguishing qualities are that the community is large in size.
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"
34 posts
#2
Advice Requests
: "Finally Understanding LLMs: What Actually Matters When Running Models Locally"
19 posts
#3
Pain & Anger
: "How I Used GPT-O1 Pro to Discover My Autoimmune Disease (After Spending $100k and Visiting 30+ Hospitals with No Success)"
3 posts
#4
Ideas
: "What to build with 100k"
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
Money Talk
: "Buy new dual 3090 machine now, or wait til after CES for new Nvidia release for LLM PC?"
1 post
#7
News
: "You can now run models on the neural engine if you have mac"
1 post
Popular Topics in r/LocalLLM
#1
Llm
: "Finally Understanding Llms: What Actually Matters When Running Models Locally"
111 posts
#2
Local
: "Finally Understanding LLMs: What Actually Matters When Running Models Locally"
87 posts
#3
Model
: "You can now train your own Reasoning Model locally with just 5GB VRAM!"
65 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"
54 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"
22 posts
#6
Hardware
: "Setting up my first LLM. What Hardware? What model?"
13 posts
#7
Models
: "You can now run Models on the neural engine if you have mac"
13 posts
#8
Mac
: "You can now run models on the neural engine if you have Mac"
12 posts
#9
Training
: "Results&Explanation of NSA - DeepSeek Introduces Ultra-Fast Long-Context Model Training and Inference"
11 posts
#10
Deepseek
: "HOLY Deepseek."
9 posts
Member Growth in r/LocalLLM
Daily
+223 members(0.5%)
Monthly
+21k members(101.5%)
Yearly
+37k members(992.8%)
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