Instructions to use TheCluster/Darwin-31B-Opus-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TheCluster/Darwin-31B-Opus-MLX-bf16 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("TheCluster/Darwin-31B-Opus-MLX-bf16") config = load_config("TheCluster/Darwin-31B-Opus-MLX-bf16") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use TheCluster/Darwin-31B-Opus-MLX-bf16 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "TheCluster/Darwin-31B-Opus-MLX-bf16"
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": "TheCluster/Darwin-31B-Opus-MLX-bf16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use TheCluster/Darwin-31B-Opus-MLX-bf16 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 "TheCluster/Darwin-31B-Opus-MLX-bf16"
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 TheCluster/Darwin-31B-Opus-MLX-bf16
Run Hermes
hermes
Darwin-31B-Opus
Quality: original (bfloat16)
Overview
Darwin-31B-Opus is a reasoning-enhanced model created by merging google/gemma-4-31B-it (Father) and TeichAI/gemma-4-31B-it-Claude-Opus-Distill (Mother) using the Darwin V6 engine.
Darwin V6 diagnoses both parent models at the tensor level before merging, assigning an independent optimal ratio to each of the 1,188 tensors. This is fundamentally different from conventional merging tools that apply a single uniform ratio across all tensors.
Model Specifications
| Architecture | Gemma 4 Dense (Hybrid Attention: Sliding Window + Global) |
| Parameters | 31B |
| Precision | BF16 |
| Context | 256,072 |
| Languages | 140+ |
| Thinking | enable_thinking=True chain-of-thought |
| License | Apache 2.0 |
Parent Models
| Role | Model | Characteristics |
|---|---|---|
| Father | google/gemma-4-31B-it | Gemma 4 Dense 31B, multimodal, 256K context, LMArena 1452 (open model #3) |
| Mother | TeichAI/gemma-4-31B-it-Claude-Opus-Distill | Claude 4.6 Opus high-effort reasoning distillation, code/science/analysis |
Source
This model was converted to MLX format from FINAL-Bench/Darwin-31B-Opus using mlx-vlm version 0.4.4.
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Base model
FINAL-Bench/Darwin-31B-Opus