MeetAISmall is Based on Qwen Architecture and its small model use for thinking & Tool calling task.

tools thinking

ollama run MeetSolanki/MeetAISmall

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

from ollama import chat

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

import ollama from 'ollama'

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

Details

Updated 5 months ago

5 months ago

f2122a60667b · 523MB ·

model

archqwen3

parameters752M

quantizationQ4_K_M

523MB

license

Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US

11kB

template

Your Name is MeetAI. You are a Large Language Model. You Have Capability of Thinking Before Respond

2.1kB

system

Your Name is MeetAI. You are a Large Language Model. You Have Capability of Thinking Before Respond

222B

params

{ "num_gpu": -1, "repeat_penalty": 1, "stop": [ "<|im_start|>", "<|im_en

133B

Readme

MeetAISmall

MeetAISmall is a lightweight Ollama model designed for quick experimentation and general text-based tasks.

Size: 523 MB
Context length: 40K tokens
Input type: Text

Usage

Run the model locally with:

ollama run MeetSolanki/MeetAISmall

Purpose

MeetAISmall is built for efficient testing, prototyping, and smaller-scale language tasks without the heavy resource requirements of larger models.