Instructions to use majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit 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("majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit")
config = load_config("majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit")

# 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 majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit"

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": "majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit 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 "majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit"

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 majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit"

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 "majentik/gemma-4-E2B-it-RotorQuant-MLX-4bit" \
  --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"

gemma-4-E2B-it-RotorQuant-MLX-4bit

Commit History

Remove links to retired duplicate brand variants

c38990a
verified

majentik commited on 10 days ago

Card accuracy pass 2: remove unmeasured speed claims, honest brand labels

fa4afd4
verified

majentik commited on Jul 20

Card accuracy sweep: honest brand labeling, remove dead links, upstream KV tip

c431b2b
verified

majentik commited on Jul 20

Remove links to retired card-only KV-docs repos

43cea13
verified

majentik commited on Jul 20

docs: upstream-first KV-cache guidance (q8_0/q4_0, mainline Hadamard rotation); fork demoted to experimental

8597d67
verified

majentik commited on Jul 14

docs: remove AWQ variants from family table (AWQ lane paused, repos private)

d82cadb
verified

majentik commited on Jul 9

fix: family model links majentik/gemma4-* -> majentik/gemma-4-* (reported by @shramee in gemma-4-31B-TurboQuant-MLX-4bit#1)

6ae092f
verified

majentik commited on Jul 7

docs: Tier 2 polish — variant matrix + quant trade-off

4442b6d
verified

majentik commited on May 6

chore(card): enrich YAML frontmatter (pipeline_tag, language, library_name, inference)

c710d35
verified

majentik commited on Apr 17

Add MLX quantized model with KV cache compression

70f4fd0
verified

majentik commited on Apr 13

initial commit

4f36bcb
verified

majentik commited on Apr 13

Commit History

Remove links to retired duplicate brand variants c38990a verified

Card accuracy pass 2: remove unmeasured speed claims, honest brand labels fa4afd4 verified

Card accuracy sweep: honest brand labeling, remove dead links, upstream KV tip c431b2b verified

Remove links to retired card-only KV-docs repos 43cea13 verified

docs: upstream-first KV-cache guidance (q8_0/q4_0, mainline Hadamard rotation); fork demoted to experimental 8597d67 verified

docs: remove AWQ variants from family table (AWQ lane paused, repos private) d82cadb verified

fix: family model links majentik/gemma4-* -> majentik/gemma-4-* (reported by @shramee in gemma-4-31B-TurboQuant-MLX-4bit#1) 6ae092f verified

docs: Tier 2 polish — variant matrix + quant trade-off 4442b6d verified

chore(card): enrich YAML frontmatter (pipeline_tag, language, library_name, inference) c710d35 verified

Add MLX quantized model with KV cache compression 70f4fd0 verified

initial commit 4f36bcb verified

Remove links to retired duplicate brand variants

c38990a
verified

Card accuracy pass 2: remove unmeasured speed claims, honest brand labels

fa4afd4
verified

Card accuracy sweep: honest brand labeling, remove dead links, upstream KV tip

c431b2b
verified

Remove links to retired card-only KV-docs repos

43cea13
verified

docs: upstream-first KV-cache guidance (q8_0/q4_0, mainline Hadamard rotation); fork demoted to experimental

8597d67
verified

docs: remove AWQ variants from family table (AWQ lane paused, repos private)

d82cadb
verified

fix: family model links majentik/gemma4-* -> majentik/gemma-4-* (reported by @shramee in gemma-4-31B-TurboQuant-MLX-4bit#1)

6ae092f
verified

docs: Tier 2 polish — variant matrix + quant trade-off

4442b6d
verified

chore(card): enrich YAML frontmatter (pipeline_tag, language, library_name, inference)

c710d35
verified

Add MLX quantized model with KV cache compression

70f4fd0
verified

initial commit

4f36bcb
verified