Instructions to use AtomicChat/Ornith-9B-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 AtomicChat/Ornith-9B-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 AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf AtomicChat/Ornith-9B-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 AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf AtomicChat/Ornith-9B-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 AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./llama-cli -hf AtomicChat/Ornith-9B-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 AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL

Use Docker

docker model run hf.co/AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL

LM Studio
Jan

vLLM

How to use AtomicChat/Ornith-9B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AtomicChat/Ornith-9B-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AtomicChat/Ornith-9B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL

Ollama
How to use AtomicChat/Ornith-9B-GGUF with Ollama:
```
ollama run hf.co/AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL
```

Unsloth Studio

How to use AtomicChat/Ornith-9B-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 AtomicChat/Ornith-9B-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 AtomicChat/Ornith-9B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AtomicChat/Ornith-9B-GGUF to start chatting

How to use AtomicChat/Ornith-9B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL

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": "AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use AtomicChat/Ornith-9B-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 AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL

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 AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL

Run Hermes

hermes

OpenClaw new

How to use AtomicChat/Ornith-9B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL

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 "AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL" \
  --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 AtomicChat/Ornith-9B-GGUF with Docker Model Runner:
```
docker model run hf.co/AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL
```

Lemonade

How to use AtomicChat/Ornith-9B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AtomicChat/Ornith-9B-GGUF:UD-Q4_K_XL

Run and chat with the model

lemonade run user.Ornith-9B-GGUF-UD-Q4_K_XL

List all available models

lemonade list

Atomic Chat

AlexAtomic commited on Jun 25

Commit

ca79e7d

verified ·

1 Parent(s): 2b1dd13

Add Ornith hero logo to card

Browse files

Files changed (3) hide show

.gitattributes +1 -0
README.md +3 -0
hero.png +3 -0

.gitattributes CHANGED Viewed

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 benchmark.png filter=lfs diff=lfs merge=lfs -text

 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 benchmark.png filter=lfs diff=lfs merge=lfs -text
+hero.png filter=lfs diff=lfs merge=lfs -text

README.md CHANGED Viewed

@@ -1,6 +1,7 @@
 ---
 license: mit
 license_link: https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B
 base_model:
 - deepreinforce-ai/Ornith-1.0-9B
 base_model_relation: quantized
@@ -29,6 +30,8 @@ tags:
 <br/>
 <div style="display:flex; justify-content:center; gap:0.5em;">
 <a href="https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B"><strong>Base model: deepreinforce-ai/Ornith-1.0-9B</strong></a>
 </div>

 ---
 license: mit
 license_link: https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B
+thumbnail: https://huggingface.co/AlexAtomic/ornith-9b-GGUF/resolve/main/hero.png
 base_model:
 - deepreinforce-ai/Ornith-1.0-9B
 base_model_relation: quantized
 <br/>
+<img src="https://huggingface.co/AlexAtomic/ornith-9b-GGUF/resolve/main/hero.png" alt="Ornith 1.0 9B" style="width:520px; max-width:100%; height:auto; margin-bottom:0.6em;"/>
 <div style="display:flex; justify-content:center; gap:0.5em;">
 <a href="https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B"><strong>Base model: deepreinforce-ai/Ornith-1.0-9B</strong></a>
 </div>

hero.png ADDED Viewed

Git LFS Details

SHA256: 458ee0d85baea4d1fc0b099245f243b21006f696921f896a5b59980a6eadef6a
Pointer size: 131 Bytes
Size of remote file: 962 kB