Instructions to use NimanthaPerera/helagpt-y-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NimanthaPerera/helagpt-y-model with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="NimanthaPerera/helagpt-y-model",
	filename="helagpt-y.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use NimanthaPerera/helagpt-y-model 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 NimanthaPerera/helagpt-y-model
# Run inference directly in the terminal:
llama cli -hf NimanthaPerera/helagpt-y-model

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NimanthaPerera/helagpt-y-model
# Run inference directly in the terminal:
llama cli -hf NimanthaPerera/helagpt-y-model

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 NimanthaPerera/helagpt-y-model
# Run inference directly in the terminal:
./llama-cli -hf NimanthaPerera/helagpt-y-model

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 NimanthaPerera/helagpt-y-model
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NimanthaPerera/helagpt-y-model

Use Docker

docker model run hf.co/NimanthaPerera/helagpt-y-model

LM Studio
Jan
Ollama
How to use NimanthaPerera/helagpt-y-model with Ollama:
```
ollama run hf.co/NimanthaPerera/helagpt-y-model
```

Unsloth Studio

How to use NimanthaPerera/helagpt-y-model 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 NimanthaPerera/helagpt-y-model 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 NimanthaPerera/helagpt-y-model to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for NimanthaPerera/helagpt-y-model to start chatting

Atomic Chat new
Docker Model Runner
How to use NimanthaPerera/helagpt-y-model with Docker Model Runner:
```
docker model run hf.co/NimanthaPerera/helagpt-y-model
```

Lemonade

How to use NimanthaPerera/helagpt-y-model with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NimanthaPerera/helagpt-y-model

Run and chat with the model

lemonade run user.helagpt-y-model-{{QUANT_TAG}}

List all available models

lemonade list

HelaGPT-Y

මෙය සිංහල භාෂාව සඳහා විශේෂයෙන් පුහුණු කරන ලද (Few-shot prompting හරහා) Gemma 4 මත පදනම් වූ සහායකයෙකි.

භාවිතා කරන ආකාරය (Usage)

මෙම මාදිලිය GGUF ආකෘතියෙන් පවතින බැවින් ඔබට මෙය Ollama හෝ LM Studio හරහා භාවිතා කළ හැක.

Ollama සමග භාවිතය:

Modelfile එක බාගත කරන්න.
ollama create helagpt-y -f Modelfile ලෙස ක්‍රියාත්මක කරන්න.

Downloads last month: 30

GGUF

Model size

8B params

Architecture

gemma4

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Inference Providers NEW

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Model tree for NimanthaPerera/helagpt-y-model

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HelaGPT-Y

භාවිතා කරන ආකාරය (Usage)

Ollama සමග භාවිතය:

Model tree for NimanthaPerera/helagpt-y-model

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