Instructions to use lthn/lemma-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lthn/lemma-mlx-8bit 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("lthn/lemma-mlx-8bit")
config = load_config("lthn/lemma-mlx-8bit")

# 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 lthn/lemma-mlx-8bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "lthn/lemma-mlx-8bit"

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": "lthn/lemma-mlx-8bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use lthn/lemma-mlx-8bit 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 "lthn/lemma-mlx-8bit"

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 lthn/lemma-mlx-8bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use lthn/lemma-mlx-8bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "lthn/lemma-mlx-8bit"

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 "lthn/lemma-mlx-8bit" \
  --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"

lemma-mlx-8bit

Commit History

Apr 17

08:00
fix(config): sync with upstream Google Gemma 4 day-1 fixes (b446025, b4a6011)⁠

lthn

Verified signature
a9d9122

Apr 11

18:48
docs: correct base_model lineage for HF model tree⁠

Snider +1: Virgil

fa76a33

Apr 10

16:51
feat: merge LEK into lemma weights⁠

Snider +1: Virgil

d296bbb
03:12
fix: pull Google's chat_template.jinja fix (E2B/E4B variant)⁠

Snider +1: Cladius Maximus

ed4fd1f
01:08
fix: replace LICENSE symlink with real EUPL-1.2 file⁠

Snider +1: Cladius Maximus

8a6d32f

Apr 9

20:41
fix: apply proven configs from mlx-community/unsloth references⁠

Snider +1: Cladius Maximus

41955c2
12:57
Upload config.json with huggingface_hub

lthn

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0991634
12:21
Upload tokenizer_config.json with huggingface_hub

lthn

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8166f53
12:21
Upload config.json with huggingface_hub

lthn

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23d34e9
12:06
Upload processor_config.json with huggingface_hub

lthn

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4f53f51
11:51
Upload config.json with huggingface_hub

lthn

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1193207
11:33
Upload folder using huggingface_hub

lthn

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83cdd24
11:30
initial commit

lthn

Verified signature
c631982

Commit History

Apr 17

fix(config): sync with upstream Google Gemma 4 day-1 fixes (b446025, b4a6011)⁠

Apr 11

docs: correct base_model lineage for HF model tree⁠

Apr 10

feat: merge LEK into lemma weights⁠

fix: pull Google's chat_template.jinja fix (E2B/E4B variant)⁠

fix: replace LICENSE symlink with real EUPL-1.2 file⁠

Apr 9

fix: apply proven configs from mlx-community/unsloth references⁠

Upload config.json with huggingface_hub

Upload tokenizer_config.json with huggingface_hub

Upload config.json with huggingface_hub

Upload processor_config.json with huggingface_hub

Upload config.json with huggingface_hub

Upload folder using huggingface_hub

initial commit