Instructions to use deanzchen/Qwen3.6-27B-Q5-MTPLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deanzchen/Qwen3.6-27B-Q5-MTPLX 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("deanzchen/Qwen3.6-27B-Q5-MTPLX")
config = load_config("deanzchen/Qwen3.6-27B-Q5-MTPLX")

# 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 deanzchen/Qwen3.6-27B-Q5-MTPLX with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "deanzchen/Qwen3.6-27B-Q5-MTPLX"

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": "deanzchen/Qwen3.6-27B-Q5-MTPLX"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use deanzchen/Qwen3.6-27B-Q5-MTPLX 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 "deanzchen/Qwen3.6-27B-Q5-MTPLX"

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 deanzchen/Qwen3.6-27B-Q5-MTPLX

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use deanzchen/Qwen3.6-27B-Q5-MTPLX with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "deanzchen/Qwen3.6-27B-Q5-MTPLX"

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 "deanzchen/Qwen3.6-27B-Q5-MTPLX" \
  --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"

deanzchen commited on Jul 12

Commit

cb349de

verified ·

1 Parent(s): f007c89

Record clean-reboot High Power benchmark

Browse files

Files changed (1) hide show

MTPLX_PERFORMANCE_BASELINE.json +5 -3

MTPLX_PERFORMANCE_BASELINE.json CHANGED Viewed

@@ -58,12 +58,14 @@
     "historical_comparison_256_d2": 49.90875607132132,
     "hub_direct_128_d2": 43.92720981573101,
     "hub_high_power_direct_128_d2": 45.419032271264705,
     "hub_direct_256_d2_runs": [43.830748328265656, 43.695076417584225],
     "hub_api_code_first_three_run_mean": 41.46785703207608,
     "hub_api_auto_reasoning_three_run_mean": 39.68670477257572,
-    "latest_ar_128": 23.02,
-    "latest_d2_speedup_vs_ar": 1.97,
-    "high_power_improvement_percent": 3.397232139240856
   },
   "validation": {
     "status": "pass",

     "historical_comparison_256_d2": 49.90875607132132,
     "hub_direct_128_d2": 43.92720981573101,
     "hub_high_power_direct_128_d2": 45.419032271264705,
+    "hub_post_reboot_high_power_direct_128_d2": 46.27235162628437,
     "hub_direct_256_d2_runs": [43.830748328265656, 43.695076417584225],
     "hub_api_code_first_three_run_mean": 41.46785703207608,
     "hub_api_auto_reasoning_three_run_mean": 39.68670477257572,
+    "latest_ar_128": 24.149735339889887,
+    "latest_d2_speedup_vs_ar": 1.916060402941681,
+    "high_power_improvement_percent": 5.338699681566217,
+    "post_reboot_improvement_percent": 1.878770445665201
   },
   "validation": {
     "status": "pass",