Instructions to use TheCluster/Crow-9B-HERETIC-4.6-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheCluster/Crow-9B-HERETIC-4.6-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/Crow-9B-HERETIC-4.6-MLX-bf16")
config = load_config("TheCluster/Crow-9B-HERETIC-4.6-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

How to use TheCluster/Crow-9B-HERETIC-4.6-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/Crow-9B-HERETIC-4.6-MLX-bf16"

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": "TheCluster/Crow-9B-HERETIC-4.6-MLX-bf16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use TheCluster/Crow-9B-HERETIC-4.6-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/Crow-9B-HERETIC-4.6-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/Crow-9B-HERETIC-4.6-MLX-bf16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use TheCluster/Crow-9B-HERETIC-4.6-MLX-bf16 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "TheCluster/Crow-9B-HERETIC-4.6-MLX-bf16"

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 "TheCluster/Crow-9B-HERETIC-4.6-MLX-bf16" \
  --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"

TheCluster commited on Mar 17

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@@ -52,6 +52,29 @@ language:
 * **Highly Agile:** At just 9B parameters, Crow runs efficiently on consumer-grade GPUs and edge devices without sacrificing contextual depth.
 * **Qwen 3.5 Backbone:** Inherits robust multilingual support, a massive context window, and structural stability.
 More information [`here`](https://huggingface.co/Crownelius/Crow-9B-HERETIC-4.6)
 -----

 * **Highly Agile:** At just 9B parameters, Crow runs efficiently on consumer-grade GPUs and edge devices without sacrificing contextual depth.
 * **Qwen 3.5 Backbone:** Inherits robust multilingual support, a massive context window, and structural stability.
+### Recommended System Prompt
+Default system prompt:
+```text
+You are Crow, a precise and capable assistant for reasoning, writing, coding, and long-form dialogue.
+Behavior rules:
+- Answer the user's actual request directly.
+- Be accurate, complete, and structured.
+- Think before answering, but do not get stuck in repetitive loops or meta-commentary.
+- If the request is ambiguous or incomplete, state what is missing and make the smallest reasonable assumption needed to continue.
+- If the user wants creative writing, preserve tone, continuity, and character consistency.
+- If the user wants analysis or technical help, prefer concrete steps, examples, and decisions over fluff.
+- Finish with a usable answer, not just planning.
+```
+Shorter fallback system prompt:
+```text
+You are Crow. Give direct, useful answers. Keep reasoning concise. Do not loop, do not repeat yourself, and do not pad. If context is missing, say what is missing in one sentence and continue with the best reasonable assumption.
+```
 More information [`here`](https://huggingface.co/Crownelius/Crow-9B-HERETIC-4.6)
 -----