Instructions to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF",
	filename="apollyon-8b-IQ4_NL.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-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 Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Yingyaeliae/grok-oss-Apollyon-8B-heretic-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 Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Yingyaeliae/grok-oss-Apollyon-8B-heretic-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 Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Yingyaeliae/grok-oss-Apollyon-8B-heretic-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 Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF with Ollama:
```
ollama run hf.co/Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M
```

Unsloth Studio

How to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF to start chatting

How to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-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 Yingyaeliae/grok-oss-Apollyon-8B-heretic-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 Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Yingyaeliae/grok-oss-Apollyon-8B-heretic-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 "Yingyaeliae/grok-oss-Apollyon-8B-heretic-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"

Docker Model Runner
How to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF with Docker Model Runner:
```
docker model run hf.co/Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M
```

Lemonade

How to use Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.grok-oss-Apollyon-8B-heretic-GGUF-Q4_K_M

List all available models

lemonade list

Grok-OSS Apollyon 8B Heretic - GGUF Quantizations

Educational Purpose Notice

This model and its respective quantizations are provided strictly for educational, research, and technical evaluation purposes.

Critical Instructions for Users

Upstream Terms: Users are explicitly required to thoroughly read, understand, and consider the original model's licensing instructions, safety guidelines, and terms of use provided by the creator at Yingyaeliae/grok-oss-Apollyon-8B-heretic.
User Responsibility & Liability: By downloading, hosting, or interacting with this model, the user assumes full and sole responsibility for any and all content generated. The quantizer accepts no liability for misuse, harmful outputs, or secondary deployments of this artifact.

Available Quantizations

Optimized for local CPU/GPU inference via llama.cpp. Use Q5_K_M or IQ4_NL for an optimal balance of throughput speed and accuracy on consumer hardware.

Downloads last month: 296

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

3-bit

4-bit

5-bit

8-bit

Inference Providers NEW

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Model tree for Yingyaeliae/grok-oss-Apollyon-8B-heretic-GGUF

Base model

c4tdr0ut/grok-oss-Apollyon-8B

Quantized

(3)

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