turtle170/MicroAtlas-V1

turtle170/ MicroAtlas-V1

63 Downloads Updated 8 months ago

A tiny 3.8B model designed to provide intelligence while being small.

ollama run turtle170/MicroAtlas-V1

curl http://localhost:11434/api/chat \
  -d '{
    "model": "turtle170/MicroAtlas-V1",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='turtle170/MicroAtlas-V1',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'turtle170/MicroAtlas-V1',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

View all →

Name

1 model

Size / Usage

Context

Input

MicroAtlas-V1:latest

2.2GB · 128K context window · Text · 8 months ago

MicroAtlas-V1:latest

2.2GB

128K

Text

Readme

Introducing MicroAtlas-V1: The “Planck-Length” AI MicroAtlas-V1 is a specialized, lightweight LLM designed for users who want high-efficiency information delivered with a distinct, cynical personality. Built on the Phi-3-Mini (3.8B) architecture and fine-tuned on the OpenHermes 2.5 and Magpie datasets, it excels at being concise, sarcastic, and intentionally “human-ish” in its responses.

Model Details: Base Model: Microsoft Phi-3-Mini-Instruct (4K Context)

Architecture: 3.8 Billion Parameters (Dense Decoder-only Transformer)

Optimization: Specifically tuned for CPU-only environments (i7-7700 class) and low-RAM footprints.

Personality Profile: “Sarcastic Efficiency”

MicroAtlas is not your average polite assistant. It has been programmed with a “Tinge of Sarcasm” from Magpie to make learning less of a chore and more of a roast.

Tone: Professional but dry; helpful but judging you just a little bit.