Instructions to use RigCodeAI/Qwen3.6-35B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use RigCodeAI/Qwen3.6-35B-A3B 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("RigCodeAI/Qwen3.6-35B-A3B")
config = load_config("RigCodeAI/Qwen3.6-35B-A3B")

# 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

How to use RigCodeAI/Qwen3.6-35B-A3B with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "RigCodeAI/Qwen3.6-35B-A3B"

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": "RigCodeAI/Qwen3.6-35B-A3B"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use RigCodeAI/Qwen3.6-35B-A3B with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "RigCodeAI/Qwen3.6-35B-A3B"

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 "RigCodeAI/Qwen3.6-35B-A3B" \
  --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"

Hermes Agent

How to use RigCodeAI/Qwen3.6-35B-A3B 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 "RigCodeAI/Qwen3.6-35B-A3B"

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 RigCodeAI/Qwen3.6-35B-A3B

Run Hermes

hermes

Qwen3.6-35B-A3B

File size: 1,324 Bytes

0e02365

{
  "architectures": [
    "DFlashDraftModel"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoModel": "dflash.DFlashDraftModel"
  },
  "block_size": 16,
  "dflash_config": {
    "mask_token_id": 248070,
    "target_layer_ids": [
      1,
      10,
      19,
      28,
      37
    ]
  },
  "dtype": "bfloat16",
  "eos_token_id": 248046,
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 6144,
  "layer_types": [
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention"
  ],
  "max_position_embeddings": 262144,
  "max_window_layers": 8,
  "model_type": "qwen3",
  "num_attention_heads": 32,
  "num_hidden_layers": 8,
  "num_key_value_heads": 4,
  "num_target_layers": 40,
  "pad_token_id": 248044,
  "rms_norm_eps": 1e-06,
  "rope_scaling": {
    "beta_fast": 32.0,
    "beta_slow": 1.0,
    "factor": 64.0,
    "original_max_position_embeddings": 4096,
    "rope_type": "yarn",
    "type": "yarn"
  },
  "rope_theta": 10000000,
  "sliding_window": null,
  "tie_word_embeddings": false,
  "transformers_version": "4.57.1",
  "use_cache": false,
  "use_sliding_window": false,
  "vocab_size": 248320
}