Instructions to use Esobold/EsoTest_GGUFs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Esobold/EsoTest_GGUFs 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 Esobold/EsoTest_GGUFs:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Esobold/EsoTest_GGUFs:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Esobold/EsoTest_GGUFs:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Esobold/EsoTest_GGUFs:Q4_K_M

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 Esobold/EsoTest_GGUFs:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf Esobold/EsoTest_GGUFs:Q4_K_M

Use Docker

docker model run hf.co/Esobold/EsoTest_GGUFs:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use Esobold/EsoTest_GGUFs with Ollama:
```
ollama run hf.co/Esobold/EsoTest_GGUFs:Q4_K_M
```
Unsloth Desktop

How to use Esobold/EsoTest_GGUFs with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Esobold/EsoTest_GGUFs: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": "Esobold/EsoTest_GGUFs:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Esobold/EsoTest_GGUFs with Docker Model Runner:
```
docker model run hf.co/Esobold/EsoTest_GGUFs:Q4_K_M
```

Lemonade

How to use Esobold/EsoTest_GGUFs with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Esobold/EsoTest_GGUFs:Q4_K_M

Run and chat with the model

lemonade run user.EsoTest_GGUFs-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Esobold/EsoTest_GGUFs with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Esobold/EsoTest_GGUFs: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 Esobold/EsoTest_GGUFs:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Esobold/EsoTest_GGUFs with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Esobold/EsoTest_GGUFs: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 "Esobold/EsoTest_GGUFs: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"

why no comments?

by lawless92 - opened Sep 17

Discussion

lawless92

Sep 17

Hey kind of new to this, but shouldn't there be comments here with 6k+ of downloads?

Henk717

Esobold org Sep 17

Not really its just a test repo. If people like one they tend to discuss it elsewhere

Esolithe

Esobold org Sep 27

@lawless92 Hey! Thanks for the interest in the repo - as Henk says this is mostly a spot for the outputs from a bunch of merge testing on Gemma 4 31B at the moment.

Most of the discussions tend to happen on Discord or similar, and the models here are mostly artefacts rather than full releases.

If you have questions, feel free to give me a shout!

richard-catcapital

15 days ago

It makes sense that the chatter moved off-site. As Esolithe noted, these are mostly artefacts from merge testing rather than polished releases, so the community naturally discusses them on Discord instead of cluttering the repo with comments.

If you'd like a quick summary of what 'merge testing' usually entails in this context, I can draft that for you right here. Just let me know if you want to explore that angle or if there's something else specific about the Gemma 4 outputs you're curious about.

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