Text Generation
GGUF
Sinhala
English
instruction-following
NLP
question-answering
reasoning
academic
LK
llama-cpp
Instructions to use manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF", filename="gamunu-4b-instruct-alpha-BF16.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 manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16 # Run inference directly in the terminal: llama-cli -hf manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16 # Run inference directly in the terminal: llama-cli -hf manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16
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 manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16 # Run inference directly in the terminal: ./llama-cli -hf manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16
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 manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16
Use Docker
docker model run hf.co/manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16
- LM Studio
- Jan
- vLLM
How to use manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16
- Ollama
How to use manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF with Ollama:
ollama run hf.co/manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16
- Unsloth Studio
How to use manthilaffs/Gamunu-4B-Instruct-Alpha-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 manthilaffs/Gamunu-4B-Instruct-Alpha-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 manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF with Docker Model Runner:
docker model run hf.co/manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16
- Lemonade
How to use manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF:BF16
Run and chat with the model
lemonade run user.Gamunu-4B-Instruct-Alpha-GGUF-BF16
List all available models
lemonade list
Create README.md
Browse files
README.md
ADDED
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---
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license: apache-2.0
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language:
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- si
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- en
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base_model: manthilaffs/Gamunu-4B-Instruct-Alpha
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pipeline_tag: text-generation
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tags:
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- instruction-following
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- NLP
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- question-answering
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- reasoning
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- academic
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- LK
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- llama-cpp
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---
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# manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF
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These models was converted to GGUF format from [`manthilaffs/Gamunu-4B-Instruct-Alpha`](https://huggingface.co/manthilaffs/Gamunu-4B-Instruct-Alpha) using llama.cpp.
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Refer to the [original model card](https://huggingface.co/manthilaffs/Gamunu-4B-Instruct-Alpha) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF --hf-file gamunu-4b-instruct-alpha-BF16.gguf -p "Hello! how are you?"
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```
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```bash
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llama-cli --hf-repo manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF --hf-file gamunu-4b-instruct-alpha-q8_0.gguf -p "Hello! how are you?"
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```
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### Server:
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```bash
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llama-server --hf-repo manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF --hf-file gamunu-4b-instruct-alpha-BF16.gguf -c 2048
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```
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```bash
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llama-server --hf-repo manthilaffs/Gamunu-4B-Instruct-Alpha-GGUF --hf-file gamunu-4b-instruct-alpha-q8_0.gguf -c 2048
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```
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