Instructions to use xxidbr9/GiLLa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use xxidbr9/GiLLa with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="xxidbr9/GiLLa",
	filename="GILLa-7B-beta_a1.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use xxidbr9/GiLLa with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf xxidbr9/GiLLa
# Run inference directly in the terminal:
llama-cli -hf xxidbr9/GiLLa

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf xxidbr9/GiLLa
# Run inference directly in the terminal:
llama-cli -hf xxidbr9/GiLLa

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 xxidbr9/GiLLa
# Run inference directly in the terminal:
./llama-cli -hf xxidbr9/GiLLa

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 xxidbr9/GiLLa
# Run inference directly in the terminal:
./build/bin/llama-cli -hf xxidbr9/GiLLa

Use Docker

docker model run hf.co/xxidbr9/GiLLa

LM Studio
Jan
Ollama
How to use xxidbr9/GiLLa with Ollama:
```
ollama run hf.co/xxidbr9/GiLLa
```

Unsloth Studio new

How to use xxidbr9/GiLLa 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 xxidbr9/GiLLa 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 xxidbr9/GiLLa to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for xxidbr9/GiLLa to start chatting

Docker Model Runner
How to use xxidbr9/GiLLa with Docker Model Runner:
```
docker model run hf.co/xxidbr9/GiLLa
```

Lemonade

How to use xxidbr9/GiLLa with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull xxidbr9/GiLLa

Run and chat with the model

lemonade run user.GiLLa-{{QUANT_TAG}}

List all available models

lemonade list

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

GILLa

GILLa stand for Generative Indonesia Large Language Model it is indonesian base LLM model that train for spesifict case in this model use for goverment task

license: mit

Downloads last month: 2

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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