The 8-billion-parameter Llama 3.1 checkpoint, served locally through Ollama. Requires roughly 16 GB of RAM and is suited to longer-context reasoning workloads on GPU-capable hosts.
Every EasyEnv recipe spins up in seconds on a real Linux VM-not a stripped-down sandbox. The Ollama Long Context Llama 3.1:8b 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_llama3.1_8b --name ollama_llama3.1_8b-demo
Provisioning Ollama Long Context Llama 3.1:8b...
Workspace ready in ~45s
$ easyenv workspace ssh ollama_llama3.1_8b-demo
Connected. You're on the machine.Stop guessing from resumes. Drop candidates into a real Ollama Long Context Llama 3.1:8b workspace, watch them debug, deploy and operate it, score the result automatically, and replay the session. We also evaluate how they work with AI.
Builds and deploys AI applications, integrates LLMs into products, and manages self-hosted AI infrastructure
Develops and deploys machine learning models and AI systems for production environments