Llama 3.2 is an auto-regressive language model that uses an optimized transformer architecture. Served via Ollama on your EasyEnv machine.
Every EasyEnv recipe spins up in seconds on a real Linux VM-not a stripped-down sandbox. The Ollama Llama 3.2 recipe is provisioned by an open Ansible role, so the machine that boots for you is reproducible, inspectable, and matches what you would get in production.
$ easyenv workspace create --recipe ollama_llama3.2 --name ollama_llama3.2-demo
Provisioning Ollama Llama 3.2...
Workspace ready in ~45s
$ easyenv workspace ssh ollama_llama3.2-demo
Connected. You're on the machine.Stop guessing from resumes. Drop candidates into a real Ollama Llama 3.2 workspace, watch them debug, deploy and operate it, score the result automatically, and replay the session. We also evaluate how they work with AI.
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