alexMorgann/alexmorgan

alexMorgann/ alexmorgan

One tip that has helped me is benchmarking several models on the same task instead of assuming the largest model is always the best choice. Smaller models often provide an excellent balance between speed and quality.

ollama run alexMorgann/alexmorgan

curl http://localhost:11434/api/chat \
  -d '{
    "model": "alexMorgann/alexmorgan",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='alexMorgann/alexmorgan',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'alexMorgann/alexmorgan',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

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