Instructions to use webbigdata/FanFic-Illustrator_gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use webbigdata/FanFic-Illustrator_gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="webbigdata/FanFic-Illustrator_gguf", filename="FanFic-Illustrator-Q4_K-f16.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use webbigdata/FanFic-Illustrator_gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf webbigdata/FanFic-Illustrator_gguf:F16 # Run inference directly in the terminal: llama-cli -hf webbigdata/FanFic-Illustrator_gguf:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf webbigdata/FanFic-Illustrator_gguf:F16 # Run inference directly in the terminal: llama-cli -hf webbigdata/FanFic-Illustrator_gguf:F16
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 webbigdata/FanFic-Illustrator_gguf:F16 # Run inference directly in the terminal: ./llama-cli -hf webbigdata/FanFic-Illustrator_gguf:F16
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 webbigdata/FanFic-Illustrator_gguf:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf webbigdata/FanFic-Illustrator_gguf:F16
Use Docker
docker model run hf.co/webbigdata/FanFic-Illustrator_gguf:F16
- LM Studio
- Jan
- Ollama
How to use webbigdata/FanFic-Illustrator_gguf with Ollama:
ollama run hf.co/webbigdata/FanFic-Illustrator_gguf:F16
- Unsloth Studio
How to use webbigdata/FanFic-Illustrator_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 webbigdata/FanFic-Illustrator_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 webbigdata/FanFic-Illustrator_gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for webbigdata/FanFic-Illustrator_gguf to start chatting
- Pi
How to use webbigdata/FanFic-Illustrator_gguf with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf webbigdata/FanFic-Illustrator_gguf:F16
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": "webbigdata/FanFic-Illustrator_gguf:F16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use webbigdata/FanFic-Illustrator_gguf with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf webbigdata/FanFic-Illustrator_gguf:F16
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 webbigdata/FanFic-Illustrator_gguf:F16
Run Hermes
hermes
- Docker Model Runner
How to use webbigdata/FanFic-Illustrator_gguf with Docker Model Runner:
docker model run hf.co/webbigdata/FanFic-Illustrator_gguf:F16
- Lemonade
How to use webbigdata/FanFic-Illustrator_gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull webbigdata/FanFic-Illustrator_gguf:F16
Run and chat with the model
lemonade run user.FanFic-Illustrator_gguf-F16
List all available models
lemonade list
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,8 +8,13 @@ base_model:
|
|
| 8 |
- webbigdata/FanFic-Illustrator
|
| 9 |
---
|
| 10 |
|
| 11 |
-
|
| 12 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
# Introduction
|
| 15 |
|
|
|
|
| 8 |
- webbigdata/FanFic-Illustrator
|
| 9 |
---
|
| 10 |
|
| 11 |
+
Setup is a bit tedious, so if you just want to try it out I recommend [Colab sample](https://github.com/webbigdata-jp/python_sample/blob/main/FanFic_Illustrator_demo.ipynb) it's fee and only require browser.
|
| 12 |
+
セットアップは手間なので、単に試してみたいだけならばブラウザで無料で動かせる[Colab sample](https://github.com/webbigdata-jp/python_sample/blob/main/FanFic_Illustrator_demo.ipynb)をお勧めします
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
It is recommended to use Q6-f16 or higher.
|
| 17 |
+
Q6-f16以上を使う事を推奨します
|
| 18 |
|
| 19 |
# Introduction
|
| 20 |
|