List Ollama models
└─$ ollama ls
NAME ID SIZE MODIFIED
qwen2.5-coder:latest dae161e27b0e 4.7 GB 8 minutes ago
gpt-oss:latest 17052f91a42e 13 GB 3 weeks ago
llama3:latest 365c0bd3c000 4.7 GB 3 weeks ago
gemma2:latest ff02c3702f32 5.4 GB 3 weeks ago
deepseek-r1:latest 6995872bfe4c 5.2 GB 3 weeks ago
starcoder:latest 847e5a7aa26f 1.8 GB 3 weeks ago s
Ollama chat cURL request
Now lets write a simple cURL which will invoke *llama3 model:
curl http://localhost:11434/api/chat -d '{
"model": "llama3",
"messages": [
{ "role": "user", "content": "Give me very short answer. The capitol of Poland is?" }
]
}'
The output will be similar to:
{"model":"llama3","created_at":"2025-11-10T10:10:03.318829243Z","message":{"role":"assistant","content":"Wars"},"done":false}
{"model":"llama3","created_at":"2025-11-10T10:10:03.519302483Z","message":{"role":"assistant","content":"aw"},"done":false}
{"model":"llama3","created_at":"2025-11-10T10:10:03.703234588Z","message":{"role":"assistant","content":"!"},"done":false}
{"model":"llama3","created_at":"2025-11-10T10:10:03.883560841Z","message":{"role":"assistant","content":""},"done":true,"done_reason":"stop","total_duration":1631819270,"load_duration":103364571,"prompt_eval_count":23,"prompt_eval_duration":961241860,"eval_count":4,"eval_duration":559116162}
Ollama chat cURL without streaming
curl http://localhost:11434/api/chat -d '{
"model": "llama3",
"messages": [
{ "role": "user", "content": "Give me very short answer. The capitol of Poland is?" }
],
"stream": false
}'
Ollama generate response
curl http://localhost:11434/api/generate -d '{
"model": "llama3",
"prompt": "Give me very short answer. Write a simple code in Python with hello world example." , "stream": false}
}' | jq -r ".response"
