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

Libraries

How to use UnionStreet/Helios-Pika-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-Pika-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-Pika-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-Pika-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-Pika-1.0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use UnionStreet/Helios-Pika-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-Pika-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-Pika-1.0

Run Hermes

hermes

MLX LM

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

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "UnionStreet/Helios-Pika-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-Pika-1.0",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Helios-Pika-1.0

File size: 1,149 Bytes

70556ae

{
    "adapter_path": "/Users/max/Documents/Infra/helios/artifacts/Helios-Pika-direct-v05",
    "batch_size": 1,
    "clear_cache_threshold": 0,
    "config": "/Users/max/Projects/UnionStreet/orsi/runs/helios-pika-direct-v05/train.yaml",
    "data": "/Users/max/Documents/Infra/helios/data/pika_constitution_patch_v3",
    "fine_tune_type": "lora",
    "grad_accumulation_steps": 16,
    "grad_checkpoint": true,
    "iters": 240,
    "learning_rate": 5e-05,
    "lora_parameters": {
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        "dropout": 0.0,
        "scale": 20.0
    },
    "lr_schedule": null,
    "mask_prompt": true,
    "max_seq_length": 1536,
    "model": "Jackrong/Qwen3.5-2B-Claude-4.6-Opus-Reasoning-Distilled",
    "num_layers": 16,
    "optimizer": "adamw",
    "optimizer_config": {
        "adam": {},
        "adamw": {},
        "muon": {},
        "sgd": {},
        "adafactor": {}
    },
    "project_name": null,
    "report_to": null,
    "resume_adapter_file": null,
    "save_every": 80,
    "seed": 29,
    "steps_per_eval": 40,
    "steps_per_report": 20,
    "test": true,
    "test_batches": -1,
    "train": true,
    "val_batches": -1
}