Text Generation
MLX
Safetensors
English
Chinese
qwen3_5
anvil
turboquant
mlx-6bit
apple-silicon
coding
qwen3.6
claude-opus
trace-inversion
agentic-coding
reasoning
metal
conversational
6-bit
Instructions to use Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit 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("Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit") 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
- Pi
How to use Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit 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 "Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit"
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 Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit"
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 "Solstice-AI/Qwopus3.6-27B-Coder-mlx-6Bit" \ --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"
Commit History
feat: update to Solstice 10-level solo + swarm cognitive architecture fe12802 verified
docs: update chat template with <think> reasoning tokens 48ad35a verified
docs: 3x expanded model card with Jackrong Trace Inversion mechanics, Anvil Metal runtime, verified 262K context, and MLX commands be87bcc verified
docs: update to Solace-standard README with Anvil quickstart and zero emojis 61a09fe verified
Update comprehensive model card documentation 0c3cce9 verified
Update README.md 8f7428e verified
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