Instructions to use ProCreations/grug-27b-qat-q4-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ProCreations/grug-27b-qat-q4-gguf 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 ProCreations/grug-27b-qat-q4-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

Use Docker

docker model run hf.co/ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use ProCreations/grug-27b-qat-q4-gguf with Ollama:
```
ollama run hf.co/ProCreations/grug-27b-qat-q4-gguf:Q4_K_M
```
Unsloth Desktop

How to use ProCreations/grug-27b-qat-q4-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

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": "ProCreations/grug-27b-qat-q4-gguf:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use ProCreations/grug-27b-qat-q4-gguf with Docker Model Runner:
```
docker model run hf.co/ProCreations/grug-27b-qat-q4-gguf:Q4_K_M
```

Lemonade

How to use ProCreations/grug-27b-qat-q4-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

Run and chat with the model

lemonade run user.grug-27b-qat-q4-gguf-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use ProCreations/grug-27b-qat-q4-gguf with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

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 ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use ProCreations/grug-27b-qat-q4-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ProCreations/grug-27b-qat-q4-gguf:Q4_K_M

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 "ProCreations/grug-27b-qat-q4-gguf:Q4_K_M" \
  --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"

MTP for GGUFs

by FallingSnowStar - opened Jul 23

Discussion

FallingSnowStar

Jul 23

small draft think for grug, grug do more. grug get draft for gguf?

ProCreations

Owner Jul 23

grug wonders if good for user.
https://huggingface.co/ProCreations/grug-27b-mtp-gguf
no qat now too expensive. QAT later if user want.

floory

Jul 24

we want

ProCreations

Owner Jul 24

grug need compute. grug maybe rent compute later. grug running low compute. tomorrow grug qat mtp

owao

Jul 24

grug rocks. user thank.

owao

Jul 24

•

edited Jul 24

grug already eating https://huggingface.co/migtissera/Tess-4-27B-GGUF/blob/main/mtp-Tess-4-27B-Q4_K_M.gguf, fast

6.40.416.936 I spec common_specu: statistics        draft-mtp: #calls(b,g,a) =    7   3161   3161, #gen drafts =   3161, #acc drafts =  2813, #gen tokens =   6322, #acc tokens =  5305, #mean acc len = 2.68, #acc rate/pos = (0.890, 0.788), dur(b,g,a) = 0.012, 12572.354, 6.920 ms

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