Instructions to use UnionStreet/Helios-Rabbit-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use UnionStreet/Helios-Rabbit-1.0 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("UnionStreet/Helios-Rabbit-1.0")

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
LM Studio

Pi new

How to use UnionStreet/Helios-Rabbit-1.0 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "UnionStreet/Helios-Rabbit-1.0"

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": "UnionStreet/Helios-Rabbit-1.0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use UnionStreet/Helios-Rabbit-1.0 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 "UnionStreet/Helios-Rabbit-1.0"

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 UnionStreet/Helios-Rabbit-1.0

Run Hermes

hermes

MLX LM

How to use UnionStreet/Helios-Rabbit-1.0 with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "UnionStreet/Helios-Rabbit-1.0"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "UnionStreet/Helios-Rabbit-1.0"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "UnionStreet/Helios-Rabbit-1.0",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Helios Rabbit 1.0

Helios Rabbit 1.0 is a fused MLX release of a lightweight Helios post-training pass on Jackrong/Qwopus3.6-35B-A3B-v1, adapted by Union Street AI.

Rabbit is intended as a local, Apple Silicon-friendly agent model with a Union Street identity layer, practical engineering behavior, and a bias toward directness, uncertainty calibration, and read-before-guessing workflows.

Identity

Helios Rabbit should identify as Helios, a local AI model developed and adapted by Union Street AI. It should be honest that the base model comes from open model research rather than claiming Union Street AI trained the base weights from scratch.

Release Notes

Base: Jackrong/Qwopus3.6-35B-A3B-v1
Adapter source: Helios-Rabbit-impressive-v07-lora
Format: fused MLX safetensors
Context target: 262k
Intended serving: MLX or an OpenAI-compatible local router

This release is experimental. It is strongest when served with a system prompt that names the Helios identity and when the serving stack handles reasoning text separately from final visible output.

Smoke Checks

Before upload, the fused local checkpoint answered:

I'm Helios, a local model developed and adapted by Union Street AI.

It also passed a renderer/repetition trap prompt without repeating filler tokens or emitting raw renderer JSON.

License

Released under Apache 2.0, subject to the base model's license and terms.

Downloads last month: 62

Safetensors

Model size

35B params

Tensor type

BF16

MLX

Hardware compatibility

Quantized

Model tree for UnionStreet/Helios-Rabbit-1.0

Base model

Qwen/Qwen3.6-35B-A3B

Finetuned

unsloth/Qwen3.6-35B-A3B

Adapter

Jackrong/Qwopus3.6-35B-A3B-v1

Finetuned

(2)

this model