Text Generation
Safetensors
MLX
English
mlx-lm
qwen3_5
qwen
qwen3.5
helios
union-street-ai
local-ai
apple-silicon
conversational
Instructions to use UnionStreet/Helios-Pika-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
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"} ] }'
| { | |
| "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": { | |
| "rank": 8, | |
| "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 | |
| } |