[{"_1":2,"_183":-5,"_184":-5},"loaderData",{"_3":4,"_13":14,"_21":22,"_156":157},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","routes/_layout",{"_15":-5,"_16":17,"_18":17,"_19":11,"_20":11},"username","isAskGordonEnabled",true,"isUsingNewTemplate","showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_23":24,"_25":-5,"_26":11,"_27":11,"_28":29,"_30":31,"_32":-5,"_33":11,"_34":35,"_89":-5,"_90":91,"_147":-5,"_148":11,"_149":17,"_150":11,"_151":-5,"_152":11,"_153":-5,"_154":155},"canonicalUrl","https://hub.docker.com/r/javi98/ollama-llama3/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","javi98","reponame","ollama-llama3","cloudBuildSource","isAutobuildsAvailable","repo",{"_36":37,"_43":44,"_46":47,"_48":49,"_50":11,"_51":52,"_53":54,"_55":56,"_39":31,"_28":29,"_59":60,"_61":45,"_62":63,"_64":65,"_66":67,"_68":-5,"_69":63,"_70":71,"_72":11,"_73":29,"_74":75,"_80":11,"_81":82,"_86":29,"_87":88},"categories",[38],{"_39":40,"_41":42},"name","Machine learning & AI","slug","machine-learning-and-ai","content_types",[45],"image","date_registered","2025-03-04T19:05:31.555511Z","description","OLLaMa LLM model LLaMa 3","is_private","last_updated","2026-02-14T16:43:16.446661Z","last_modified","2025-03-04T19:29:00.023389Z","media_types",[57,58],"application/vnd.docker.container.image.v1+json","application/vnd.oci.image.index.v1+json","pull_count",23527,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","# OLLaMa LLaMa 3\n $\"ollama-llama3\"$ \n\n

\n\nDocker image application containing the already started LLM (Large Language Model) OLLaMa along with the LLaMa 3 model. Used for an IA application containing a RAG (Retrieval Augmented Generation) to act as a virtual vehicle assistant.\n\n

Github repository: https://github.com/JAVI-CC/python-api-CarPriceAI

\n\n
\n
\n\n

Setup

$ docker-compose up -d\n$ docker compose exec ollama ./first_start_ollama.sh # ollama pull llama3

\n\n
\n\n

docker-compose.yml

version: '3'\nservices:\n  app:\n    image: javi98/ollama-llama3:1.0.0\n    container_name: ollama-app\n    restart: unless-stopped\n    ports:\n      - 11434:11434\n    deploy:\n      resources:\n        reservations:\n          devices:\n            - driver: nvidia\n              count: 1\n              capabilities: [gpu]\n\nnetworks:\n  python-openai-generator-srt:\n    driver: bridge\n

\n\n

Once you have the containers deployed, You will be shown the CLI to choose the file and language you want to generate the srt file in.

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javi98/ollama-llama3

Tags for javi98/ollama-llama3