Text Generation
MLX
Safetensors
English
qwen3_5_moe
qwen3.6
qwopus
Mixture of Experts
helios
union-street-ai
local-ai
agentic
conversational
Instructions to use UnionStreet/Helios-Rabbit-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
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"} ] }'
Mark Helios Rabbit 1.0 as quarantined
Browse files
README.md
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# Helios Rabbit 1.0
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Helios Rabbit 1.0 is a local agentic model developed and adapted by Union Street AI, an SF lab focused on practical local AI systems.
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This release is a merged MLX checkpoint adapted from [Jackrong/Qwopus3.6-35B-A3B-v1](https://huggingface.co/Jackrong/Qwopus3.6-35B-A3B-v1). It is not trained from scratch. It is a post-training pass for the Helios model family, tuned for local coding agents, infrastructure work, tool-use judgment, candid adult conversation, and calibrated uncertainty.
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It should not identify as Qwen, Alibaba, Claude, GPT, Grok, or Qwopus except when discussing base-model lineage.
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## Evaluation
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- 58 prompts
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- judge: `thurgood/gemma-4-31b-it`
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## Notes
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This is an experimental
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# Helios Rabbit 1.0
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> **Quarantined release:** post-release testing found severe output degeneration in this checkpoint, including repeated-token loops and leaked renderer/tool-trace artifacts. Do not use this model as a production or evaluation baseline. It remains published for provenance while Union Street AI rebuilds Rabbit from a clean Qwopus base and sanitized data.
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Helios Rabbit 1.0 is a local agentic model developed and adapted by Union Street AI, an SF lab focused on practical local AI systems.
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This release is a merged MLX checkpoint adapted from [Jackrong/Qwopus3.6-35B-A3B-v1](https://huggingface.co/Jackrong/Qwopus3.6-35B-A3B-v1). It is not trained from scratch. It is a post-training pass for the Helios model family, tuned for local coding agents, infrastructure work, tool-use judgment, candid adult conversation, and calibrated uncertainty.
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It should not identify as Qwen, Alibaba, Claude, GPT, Grok, or Qwopus except when discussing base-model lineage.
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## Evaluation Status
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The earlier internal constitutional ladder score below is no longer considered sufficient evidence of release quality. The eval overfit/missed severe generation failures in open-ended chat.
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Previous internal constitutional ladder eval:
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- 58 prompts
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- judge: `thurgood/gemma-4-31b-it`
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## Notes
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This is an experimental quarantined release. Use Helios Lynx or Helios Pika instead until Rabbit is rebuilt.
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