Instructions to use saggamer/Orchestrator_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use saggamer/Orchestrator_V1 with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("saggamer/Orchestrator_V1")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use saggamer/Orchestrator_V1 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "saggamer/Orchestrator_V1"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "saggamer/Orchestrator_V1"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use saggamer/Orchestrator_V1 with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "saggamer/Orchestrator_V1"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "saggamer/Orchestrator_V1"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "saggamer/Orchestrator_V1",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use saggamer/Orchestrator_V1 with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "saggamer/Orchestrator_V1"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default saggamer/Orchestrator_V1

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use saggamer/Orchestrator_V1 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "saggamer/Orchestrator_V1"

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "saggamer/Orchestrator_V1" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

saggamer commited on Jun 20

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@@ -30,7 +30,7 @@ This release preserves the Apache 2.0 licensing metadata and is published as an
 Orchestrator V1 is an agentic automation model built to act as the planning and decision layer inside local AI agents, desktop assistants, IDE copilots, MCP-style tool systems, and OS-level automation runtimes.
-Orchestrator V1 was originally developed for KIRA OS, a local AI operating environment still in development, but it is not limited to KIRA OS. Developers can use it in any compatible runtime that supports the tokenizer, chat template, and optional agent/tool execution loop.
 The model is not intended to be only a conversational chatbot. It is designed to be connected to tools.
 ## What Makes It Different

 Orchestrator V1 is an agentic automation model built to act as the planning and decision layer inside local AI agents, desktop assistants, IDE copilots, MCP-style tool systems, and OS-level automation runtimes.
+Orchestrator V1 was originally developed for KIRA OS, a local AI operating environment which is available as a prototype here:https://saggamer.github.io/KIRA-OS/, but it is not limited to KIRA OS. Developers can use it in any compatible runtime that supports the tokenizer, chat template, and optional agent/tool execution loop.
 The model is not intended to be only a conversational chatbot. It is designed to be connected to tools.
 ## What Makes It Different