Instructions to use Yingyaeliae/grok-oss-Apollyon-24B-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Yingyaeliae/grok-oss-Apollyon-24B-heretic 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-24B-heretic:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Yingyaeliae/grok-oss-Apollyon-24B-heretic: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-24B-heretic:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Yingyaeliae/grok-oss-Apollyon-24B-heretic: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-24B-heretic:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Yingyaeliae/grok-oss-Apollyon-24B-heretic: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-24B-heretic:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Yingyaeliae/grok-oss-Apollyon-24B-heretic:Q4_K_M

Use Docker

docker model run hf.co/Yingyaeliae/grok-oss-Apollyon-24B-heretic:Q4_K_M

LM Studio
Jan
Ollama
How to use Yingyaeliae/grok-oss-Apollyon-24B-heretic with Ollama:
```
ollama run hf.co/Yingyaeliae/grok-oss-Apollyon-24B-heretic:Q4_K_M
```

Unsloth Studio

How to use Yingyaeliae/grok-oss-Apollyon-24B-heretic 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-24B-heretic 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-24B-heretic 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-24B-heretic to start chatting

Docker Model Runner
How to use Yingyaeliae/grok-oss-Apollyon-24B-heretic with Docker Model Runner:
```
docker model run hf.co/Yingyaeliae/grok-oss-Apollyon-24B-heretic:Q4_K_M
```

Lemonade

How to use Yingyaeliae/grok-oss-Apollyon-24B-heretic with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Yingyaeliae/grok-oss-Apollyon-24B-heretic:Q4_K_M

Run and chat with the model

lemonade run user.grok-oss-Apollyon-24B-heretic-Q4_K_M

List all available models

lemonade list

Atomic Chat

grok-oss-Apollyon-24B-heretic / apollyon-24b-Q5_K_M.gguf

Yingyaeliae

Upload apollyon-24b-Q5_K_M.gguf with huggingface_hub

987a09f verified about 1 month ago

Download

History Blame GGUF Editor new Delete

16.8 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 8e04563f5f75e8b63daa878d0b2a380a0a81ab4bf4b25aff033e57d98bb53318
Size of remote file:: 16.8 GB
SHA256:: 7194c043feab9e1c492e56d45187c81b4017b87d07987cd3b4df13fd9d61b40a

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.