DEV Community

Durgesh
Durgesh

Posted on

1

Why Run LLM's /SLM's locally

Privacy and Data Control
User data and chat interactions remain on the local machine
Prompts don't leave the localhost, ensuring privacy
Cost-Effectiveness
No monthly subscriptions or per-request payments
Helps save money compared to cloud-based services
Customization and Flexibility
Advanced configurations for CPU threads, temperature, context length, and GPU settings
Similar to OpenAI's playground in terms of customization options
Offline Capabilities
Load and interact with LLMs without internet connectivity
Avoids poor signal and connection issues associated with cloud services
Support and Security
Comparable support and security to closed LLMs
Popular Local LLM Tools
LM Studio
Jan
llamafile
GPT4ALL
Ollama
LLaMa.cpp
n8n
These tools enable users to harness the power of LLMs while maintaining control over their data and reducing costs.

Top comments (0)

A Workflow Copilot. Tailored to You.

Pieces.app image

Our desktop app, with its intelligent copilot, streamlines coding by generating snippets, extracting code from screenshots, and accelerating problem-solving.

Read the docs

👋 Kindness is contagious

Explore a sea of insights with this enlightening post, highly esteemed within the nurturing DEV Community. Coders of all stripes are invited to participate and contribute to our shared knowledge.

Expressing gratitude with a simple "thank you" can make a big impact. Leave your thanks in the comments!

On DEV, exchanging ideas smooths our way and strengthens our community bonds. Found this useful? A quick note of thanks to the author can mean a lot.

Okay