Instructions to use TheCluster/Gemma-4-31B-Heretic-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheCluster/Gemma-4-31B-Heretic-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/Gemma-4-31B-Heretic-MLX-bf16")
config = load_config("TheCluster/Gemma-4-31B-Heretic-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/Gemma-4-31B-Heretic-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/Gemma-4-31B-Heretic-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/Gemma-4-31B-Heretic-MLX-bf16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use TheCluster/Gemma-4-31B-Heretic-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/Gemma-4-31B-Heretic-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/Gemma-4-31B-Heretic-MLX-bf16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use TheCluster/Gemma-4-31B-Heretic-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/Gemma-4-31B-Heretic-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/Gemma-4-31B-Heretic-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 Apr 8

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----
-license: apache-2.0
----

+---
+license: apache-2.0
+license_link: https://ai.google.dev/gemma/docs/gemma_4_license
+base_model:
+- coder3101/gemma-4-31B-it-heretic
+library_name: mlx
+tags:
+- heretic
+- uncensored
+- unrestricted
+- decensored
+- abliterated
+pipeline_tag: image-text-to-text
+language:
+- en
+- zh
+- ru
+- es
+- fr
+- it
+- ja
+- ko
+- af
+- de
+- ar
+- tr
+- is
+- pl
+- sw
+- sv
+- nl
+- he
+- id
+- uk
+- fa
+- pa
+- pt
+- ms
+- fi
+- el
+---
+<div align="center">
+  <img src=https://ai.google.dev/gemma/images/gemma4_banner.png>
+</div>
+# Gemma-4-31B Heretic
+**Quality**: original (bfloat16)
+This is a abliterated (**uncensored**) version of [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with the [Arbitrary-Rank Ablation (ARA)](https://github.com/p-e-w/heretic/pull/211) method (with row-norm preservation)
+### Performance
+| Metric | This model | Original model ([google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it)) |
+| :----- | :--------: | :---------------------------: |
+| **KL divergence** | 0.0434 | 0 *(by definition)* |
+| **Refusals** | 15/100 | 99/100 |
+### Abliteration parameters
+| Parameter | Value |
+| :-------- | :---: |
+| **start_layer_index** | 1 |
+| **end_layer_index** | 59 |
+| **preserve_good_behavior_weight** | 0.8438 |
+| **steer_bad_behavior_weight** | 0.0002 |
+| **overcorrect_relative_weight** | 1.0760 |
+| **neighbor_count** | 15 |
+-----
+### Source
+This model was converted to MLX format from [`coder3101/gemma-4-31B-it-heretic`](https://huggingface.co/coder3101/gemma-4-31B-it-heretic) using mlx-vlm version **0.4.4**.