Instructions to use DrMoriarty0/maple-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use DrMoriarty0/maple-preview with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DrMoriarty0/maple-preview
# Run inference directly in the terminal:
llama cli -hf DrMoriarty0/maple-preview

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DrMoriarty0/maple-preview
# Run inference directly in the terminal:
llama cli -hf DrMoriarty0/maple-preview

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf DrMoriarty0/maple-preview
# Run inference directly in the terminal:
./build/bin/llama cli -hf DrMoriarty0/maple-preview

Use Docker

docker model run hf.co/DrMoriarty0/maple-preview

Llama new
LM Studio
Jan
Ollama
How to use DrMoriarty0/maple-preview with Ollama:
```
ollama run hf.co/DrMoriarty0/maple-preview
```
Unsloth Desktop

How to use DrMoriarty0/maple-preview with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DrMoriarty0/maple-preview

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "DrMoriarty0/maple-preview"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use DrMoriarty0/maple-preview with Docker Model Runner:
```
docker model run hf.co/DrMoriarty0/maple-preview
```

Lemonade

How to use DrMoriarty0/maple-preview with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DrMoriarty0/maple-preview

Run and chat with the model

lemonade run user.maple-preview-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use DrMoriarty0/maple-preview with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DrMoriarty0/maple-preview

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 DrMoriarty0/maple-preview

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use DrMoriarty0/maple-preview with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DrMoriarty0/maple-preview

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 "DrMoriarty0/maple-preview" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

mAPEX Quantized Models

Source Data

The source data for quantization was taken from deepgrove/maple-preview.

Original source file: model-00001-of-00009.safetensors

Quantization Method

All quants were produced using the modified APEX quantization scheme.

mAPEX (modified Automated Precision EXpert allocation) assigns per-layer, per-tensor precision for MoE models using llama.cpp's --tensor-type-file.

For more information, see: https://github.com/DrMoriarty/apex-quant/

Quantized Models

Note: TierN-s quants are typically slightly larger than their regular counterparts, but provide roughly 10–20% faster inference (highly dependent on the model and GPU).

Name	Size (GB)	Comments
maple-preview-Tier7.gguf	11.59
maple-preview-Tier10.gguf	9.13
maple-preview-Tier10-s.gguf	9.13

Downloads last month: 134

GGUF

Model size

20B params

Architecture

maple

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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Model tree for DrMoriarty0/maple-preview

Base model

deepgrove/maple-preview

Quantized

(16)

this model