Instructions to use cdanis/Ornith-1.5-397B-GGUF-imatrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use cdanis/Ornith-1.5-397B-GGUF-imatrix 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 cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf cdanis/Ornith-1.5-397B-GGUF-imatrix: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 cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL
# Run inference directly in the terminal:
./llama-cli -hf cdanis/Ornith-1.5-397B-GGUF-imatrix: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 cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL

Use Docker

docker model run hf.co/cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL

LM Studio
Jan
Ollama
How to use cdanis/Ornith-1.5-397B-GGUF-imatrix with Ollama:
```
ollama run hf.co/cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL
```
Unsloth Desktop

How to use cdanis/Ornith-1.5-397B-GGUF-imatrix with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL

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": "cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use cdanis/Ornith-1.5-397B-GGUF-imatrix with Docker Model Runner:
```
docker model run hf.co/cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL
```

Lemonade

How to use cdanis/Ornith-1.5-397B-GGUF-imatrix with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL

Run and chat with the model

lemonade run user.Ornith-1.5-397B-GGUF-imatrix-Q4_K_XL

List all available models

lemonade list

Hermes Agent

How to use cdanis/Ornith-1.5-397B-GGUF-imatrix with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf cdanis/Ornith-1.5-397B-GGUF-imatrix: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 cdanis/Ornith-1.5-397B-GGUF-imatrix:Q4_K_XL

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use cdanis/Ornith-1.5-397B-GGUF-imatrix with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf cdanis/Ornith-1.5-397B-GGUF-imatrix: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 "cdanis/Ornith-1.5-397B-GGUF-imatrix: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"

Ornith-1.5-397B-GGUF-imatrix

File size: 2,065 Bytes

model	quant	source	size_GiB	PPL	PPL_ratio_vs_Q8_0	KL_mean	KL_median	top-p_agree_%
Ornith-1.5-397B-IQ1_S	IQ1_S	bartowski/Ornith-1.5-397B-GGUF	76.1	6.4326	1.8365	0.7036	0.2684	69.686
Ornith-1.5-397B-IQ1_M	IQ1_M	bartowski/Ornith-1.5-397B-GGUF	85.1	6.1030	1.7424	0.6518	0.2278	71.503
Ornith-1.5-397B-IQ1_S	IQ1_S	cdanis (this repo)	85.9	5.2151	1.4889	0.4921	0.1459	76.104
Ornith-1.5-397B-IQ1_M	IQ1_M	cdanis (this repo)	94.0	4.9228	1.4055	0.4366	0.1253	77.622
Ornith-1.5-397B-IQ2_XXS	IQ2_XXS	bartowski/Ornith-1.5-397B-GGUF	99.1	4.6987	1.3415	0.3827	0.1129	79.161
Ornith-1.5-397B-IQ2_XXS	IQ2_XXS	cdanis (this repo)	107.5	4.2473	1.2126	0.2686	0.0666	82.901
Ornith-1.5-397B-IQ2_S	IQ2_S	cdanis (this repo)	119.8	4.0675	1.1613	0.2209	0.0516	84.731
Ornith-1.5-397B-IQ2_M	IQ2_M	cdanis (this repo)	130.6	3.9227	1.1200	0.1639	0.0371	86.751
Ornith-1.5-397B-IQ3_XXS	IQ3_XXS	cdanis (this repo)	151.5	3.7201	1.0621	0.0999	0.0225	89.787
Ornith-1.5-397B-IQ3_XXS	IQ3_XXS	bartowski/Ornith-1.5-397B-GGUF	156.4	3.8012	1.0853	0.1307	0.0316	88.180
Ornith-1.5-397B-IQ3_S	IQ3_S	cdanis (this repo)	168.5	3.6958	1.0552	0.0756	0.0174	90.803
Ornith-1.5-397B-IQ3_XS	IQ3_XS	bartowski/Ornith-1.5-397B-GGUF	169.0	3.7429	1.0686	0.1060	0.0264	89.298
Ornith-1.5-397B-Q3_K_XL	Q3_K_XL	cdanis (this repo)	174.3	3.6462	1.0410	0.0674	0.0135	91.849
Ornith-1.5-397B-Q3_K_XL	Q3_K_XL	bartowski/Ornith-1.5-397B-GGUF	177.3	3.7640	1.0747	0.1134	0.0285	88.876
Ornith-1.5-397B-IQ4_XS	IQ4_XS	cdanis (this repo)	209.3	3.5276	1.0071	0.0271	0.0058	94.716
Ornith-1.5-397B-IQ4_XS	IQ4_XS	bartowski/Ornith-1.5-397B-GGUF	218.9	3.5614	1.0168	0.0495	0.0111	92.743
Ornith-1.5-397B-Q4_K_M	Q4_K_M	ornith-ai/Ornith-1.5-397B-GGUF	227.5	3.5742	1.0205	0.0482	0.0119	92.600
Ornith-1.5-397B-Q4_K_XL	Q4_K_XL	cdanis (this repo)	233.8	3.5163	1.0039	0.0233	0.0050	95.024
Ornith-1.5-397B-Q5_K_M	Q5_K_M	ornith-ai/Ornith-1.5-397B-GGUF	266.7	3.5309	1.0081	0.0268	0.0065	94.371
Ornith-1.5-397B-Q6_K	Q6_K	ornith-ai/Ornith-1.5-397B-GGUF	308.2	3.5264	1.0068	0.0204	0.0051	94.894
Ornith-1.5-397B-Q8_0	Q8_0	ornith-ai (reference)	399.1	3.5043				100.000