amalwork689/AMI

amalwork689/ AMI

4 Downloads Updated 1 month ago

AMI is a lightweight, highly efficient routing model based on mistral-nemo(12B)It is specifically designed to act as the central orchestrator (LM-1) in a Mixture of Experts (MoE) architecture with other expert models.

tools

ollama run amalwork689/AMI

curl http://localhost:11434/api/chat \
  -d '{
    "model": "amalwork689/AMI",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='amalwork689/AMI',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'amalwork689/AMI',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code ollama launch claude --model amalwork689/AMI

OpenCode ollama launch opencode --model amalwork689/AMI

Hermes Agent ollama launch hermes --model amalwork689/AMI

OpenClaw ollama launch openclaw --model amalwork689/AMI

Models

View all →

Name

1 model

Size / Usage

Context

Input

AMI:latest

7.1GB · 1000K context window · Text · 1 month ago

AMI:latest

7.1GB

1000K

Text

Readme

AMI - Router

AMI is a lightweight, highly efficient routing model based on Mistral-nemo(12B). It is specifically designed to act as the central orchestrator (LM-1) in a Mixture of Experts (MoE) architecture.

Instead of answering user queries directly, AMI analyzes incoming prompts, categorizes the required task, and determines if external tools (like web search) are needed. It outputs strictly in JSON format, allowing developers to easily parse the response in Python and route the prompt to specialized expert models (e.g., deepseek-r1 for math, qwen-coder for programming).

Key Features:

-Task Categorization: Classifies prompts into general, math, creative writing or code.

-Tool Routing: Evaluates if a web search is required via the needs_web_search boolean flag.

-Deterministic Output: Tuned with Temperature 0.0 to guarantee reliable, strict JSON formatting without conversational fluff.