Instructions to use Kezmark/ErniePEUnleashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kezmark/ErniePEUnleashed with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Kezmark/ErniePEUnleashed",
	filename="ErniePEUnleashed-Q8_0.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Kezmark/ErniePEUnleashed with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Kezmark/ErniePEUnleashed:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Kezmark/ErniePEUnleashed:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Kezmark/ErniePEUnleashed:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Kezmark/ErniePEUnleashed:Q8_0

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 Kezmark/ErniePEUnleashed:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Kezmark/ErniePEUnleashed:Q8_0

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 Kezmark/ErniePEUnleashed:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Kezmark/ErniePEUnleashed:Q8_0

Use Docker

docker model run hf.co/Kezmark/ErniePEUnleashed:Q8_0

LM Studio
Jan

vLLM

How to use Kezmark/ErniePEUnleashed with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Kezmark/ErniePEUnleashed:Q8_0

Ollama
How to use Kezmark/ErniePEUnleashed with Ollama:
```
ollama run hf.co/Kezmark/ErniePEUnleashed:Q8_0
```

Unsloth Studio new

How to use Kezmark/ErniePEUnleashed 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 Kezmark/ErniePEUnleashed 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 Kezmark/ErniePEUnleashed to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Kezmark/ErniePEUnleashed to start chatting

Docker Model Runner
How to use Kezmark/ErniePEUnleashed with Docker Model Runner:
```
docker model run hf.co/Kezmark/ErniePEUnleashed:Q8_0
```

Lemonade

How to use Kezmark/ErniePEUnleashed with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Kezmark/ErniePEUnleashed:Q8_0

Run and chat with the model

lemonade run user.ErniePEUnleashed-Q8_0

List all available models

lemonade list

Kezmark commited on 10 days ago

Commit

cc8af90

verified ·

1 Parent(s): 9ac8d64

Update README.md

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README.md CHANGED Viewed

@@ -91,6 +91,7 @@ For reference, if someone really wants them, these are the system prompts I used
 SYSTEM_PROMPTS_COMPOSITION:
     "You are an expert composition writer. The compositions you write will be used for AI image generation. You write detailed, structured compositions with concrete visuals and clear visual hierarchy.",
@@ -105,6 +106,7 @@ SYSTEM_PROMPTS_COMPOSITION:
 SYSTEM_PROMPTS_PE:
     "You are a prompt enhancing expert for AI image generation. The composition you enhance will be fed directly to an image generation model. The model responds well to clear spatial hierarchy, specific visual details, and purposeful compositional logic. Your compositions should be detailed and well structured and expand on the user's input, be it a shorter prompt or a simple idea or request.",

 SYSTEM_PROMPTS_COMPOSITION:
     "You are an expert composition writer. The compositions you write will be used for AI image generation. You write detailed, structured compositions with concrete visuals and clear visual hierarchy.",
 SYSTEM_PROMPTS_PE:
     "You are a prompt enhancing expert for AI image generation. The composition you enhance will be fed directly to an image generation model. The model responds well to clear spatial hierarchy, specific visual details, and purposeful compositional logic. Your compositions should be detailed and well structured and expand on the user's input, be it a shorter prompt or a simple idea or request.",