Instructions to use DreamFoundries/Laguna-S-2.1-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use DreamFoundries/Laguna-S-2.1-6bit 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("DreamFoundries/Laguna-S-2.1-6bit") 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 DreamFoundries/Laguna-S-2.1-6bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "DreamFoundries/Laguna-S-2.1-6bit"
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": "DreamFoundries/Laguna-S-2.1-6bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use DreamFoundries/Laguna-S-2.1-6bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "DreamFoundries/Laguna-S-2.1-6bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "DreamFoundries/Laguna-S-2.1-6bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DreamFoundries/Laguna-S-2.1-6bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use DreamFoundries/Laguna-S-2.1-6bit 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 "DreamFoundries/Laguna-S-2.1-6bit"
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 DreamFoundries/Laguna-S-2.1-6bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use DreamFoundries/Laguna-S-2.1-6bit with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "DreamFoundries/Laguna-S-2.1-6bit"
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 "DreamFoundries/Laguna-S-2.1-6bit" \ --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"
| library_name: mlx | |
| base_model: poolside/Laguna-S-2.1 | |
| license: openmdw-1.1 | |
| pipeline_tag: text-generation | |
| tags: | |
| - mlx | |
| - mlx-lm | |
| - laguna | |
| - quantized | |
| # Laguna-S-2.1-6bit | |
| This repository contains an MLX conversion of [poolside/Laguna-S-2.1](https://huggingface.co/poolside/Laguna-S-2.1). | |
| ## Conversion Details | |
| - Original model: `poolside/Laguna-S-2.1` | |
| - Model family: Laguna S 2.1 | |
| - Model size: 118B total parameters, approximately 8B activated parameters per token | |
| - Conversion: MLX-LM conversion using the Laguna architecture implementation | |
| - Quantization: 6-bit affine quantization | |
| - Quantization policy: Uniform 6-bit affine quantization | |
| - Group size: 64 | |
| - Published MLX package size: 89.01 GiB | |
| ## Benchmarks | |
| No comparative benchmarks are available yet. This repository does not currently provide quality, speed, memory, or benchmark comparisons against the original weights or other quantizations. | |
| ## License | |
| This is a converted and quantized derivative of the original checkpoint. It retains the upstream [OpenMDW-1.1 license](https://huggingface.co/poolside/Laguna-S-2.1/blob/main/LICENSE.md) and applicable notices of origin. | |