Home / Jobs / Run LLMs locally
Run LLMs locally
The best tool for running LLMs locally is Ollama because it scores highest on our published formula (89.2/100): The simplest way to pull and run open models locally, with a large ecosystem.
The job: “I want to run open models on my own laptop or desktop.” · Last checked
Ollama
The simplest way to pull and run open models locally, with a large ecosystem.
Not for: Production multi-user serving at scale.
Pricing: Open source; runs models on your machine. source, checked 2026-10-19
Visit Ollama ↗llama.cpp
The engine underneath much of local inference. Maximum control and broad hardware support.
Not for: People who want a one-command, batteries-included experience.
Pricing: Open source. source
Score breakdown
| Tool | Fit (editorial) ×0.4 | Adoption (GitHub stars) ×0.25 | Momentum (release freshness) ×0.2 | Attention (HN, 30d) ×0.15 | Score |
|---|---|---|---|---|---|
| Ollama | 5/5 → 1 | 184k★ → 0.986 | Oct 17, 2026 → 0.975 | 9 pts → 0.339 | 89.2 |
| llama.cpp | 4/5 → 0.75 | 132k★ → 0.959 | Oct 19, 2026 → 1 | 0 pts → 0 | 74 |
Missing signals are dropped and the remaining weights re-normalized. See methodology. Signals fetched Oct 19, 2026.
FAQ
What is the best tool for running LLMs locally?
The best tool for running LLMs locally is Ollama because it scores highest on our published formula (89.2/100): The simplest way to pull and run open models locally, with a large ecosystem.
What is the best alternative to Ollama?
Our runner-up is llama.cpp (74/100). The engine underneath much of local inference. Maximum control and broad hardware support. Not for: People who want a one-command, batteries-included experience.
Who should not use Ollama?
Production multi-user serving at scale.
How much does Ollama cost?
Open source; runs models on your machine. (checked 2026-10-19, source: https://github.com/ollama/ollama)
Related jobs
- Self-host LLM serving at scale: pick vLLM
- One API for many models: pick OpenRouter
- Fine-tune open models: pick Unsloth
The weekly pick sheet
Once a week: what shipped, which picks changed, and why. Free.
Placeholder: signup isn't live yet and no email is collected. Follow RSS in the meantime.