Instructions to use unsloth/grok-2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unsloth/grok-2-GGUF with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("unsloth/grok-2-GGUF", device_map="auto")

Grok

How to use unsloth/grok-2-GGUF with Grok:

# No code snippets available yet for this library.

# To use this model, check the repository files and the library's documentation.

# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.js

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use unsloth/grok-2-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 unsloth/grok-2-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf unsloth/grok-2-GGUF:UD-Q4_K_XL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf unsloth/grok-2-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf unsloth/grok-2-GGUF:UD-Q4_K_XL

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 unsloth/grok-2-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./llama-cli -hf unsloth/grok-2-GGUF:UD-Q4_K_XL

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 unsloth/grok-2-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf unsloth/grok-2-GGUF:UD-Q4_K_XL

Use Docker

docker model run hf.co/unsloth/grok-2-GGUF:UD-Q4_K_XL

LM Studio
Jan
Ollama
How to use unsloth/grok-2-GGUF with Ollama:
```
ollama run hf.co/unsloth/grok-2-GGUF:UD-Q4_K_XL
```
Unsloth Desktop
Docker Model Runner
How to use unsloth/grok-2-GGUF with Docker Model Runner:
```
docker model run hf.co/unsloth/grok-2-GGUF:UD-Q4_K_XL
```

Lemonade

How to use unsloth/grok-2-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull unsloth/grok-2-GGUF:UD-Q4_K_XL

Run and chat with the model

lemonade run user.grok-2-GGUF-UD-Q4_K_XL

List all available models

lemonade list

Atomic Chat

danielhanchen commited on Sep 8, 2025

Commit

7b560ae

verified ·

1 Parent(s): 38f0dd1

Update README.md

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@@ -32,7 +32,7 @@ base_model:
 - Use `--jinja` for `llama.cpp`. You must use [PR 15539](https://github.com/ggml-org/llama.cpp/pull/15539). For example use the code below: <br>
 - `git clone https://github.com/ggml-org/llama.cpp`
-- `git fetch origin pull/15539/head:MASTER && git checkout MASTER`
 Utilizes Alvaro's Grok-2 HF compatible tokenizer as provided [here](https://huggingface.co/alvarobartt/grok-2-tokenizer)

 - Use `--jinja` for `llama.cpp`. You must use [PR 15539](https://github.com/ggml-org/llama.cpp/pull/15539). For example use the code below: <br>
 - `git clone https://github.com/ggml-org/llama.cpp`
+- `cd llama.cpp && git fetch origin pull/15539/head:MASTER && git checkout MASTER && cd ..`
 Utilizes Alvaro's Grok-2 HF compatible tokenizer as provided [here](https://huggingface.co/alvarobartt/grok-2-tokenizer)