Instructions to use saeedalone/alduin-4b-it-base-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use saeedalone/alduin-4b-it-base-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="saeedalone/alduin-4b-it-base-GGUF", filename="alduin-4b-it-base-Q4_K_M.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 saeedalone/alduin-4b-it-base-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf saeedalone/alduin-4b-it-base-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf saeedalone/alduin-4b-it-base-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf saeedalone/alduin-4b-it-base-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf saeedalone/alduin-4b-it-base-GGUF:Q4_K_M
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 saeedalone/alduin-4b-it-base-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf saeedalone/alduin-4b-it-base-GGUF:Q4_K_M
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 saeedalone/alduin-4b-it-base-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf saeedalone/alduin-4b-it-base-GGUF:Q4_K_M
Use Docker
docker model run hf.co/saeedalone/alduin-4b-it-base-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use saeedalone/alduin-4b-it-base-GGUF with Ollama:
ollama run hf.co/saeedalone/alduin-4b-it-base-GGUF:Q4_K_M
- Unsloth Studio
How to use saeedalone/alduin-4b-it-base-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 saeedalone/alduin-4b-it-base-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 saeedalone/alduin-4b-it-base-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for saeedalone/alduin-4b-it-base-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use saeedalone/alduin-4b-it-base-GGUF with Docker Model Runner:
docker model run hf.co/saeedalone/alduin-4b-it-base-GGUF:Q4_K_M
- Lemonade
How to use saeedalone/alduin-4b-it-base-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull saeedalone/alduin-4b-it-base-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.alduin-4b-it-base-GGUF-Q4_K_M
List all available models
lemonade list
Alduin 4B IT Base - GGUF
Quantized GGUF versions of Muhammadreza/alduin-4b-it-base.
Quantized by saeedalone
Files
| File | Quant | Description |
|---|---|---|
alduin-4b-it-base-Q4_K_M.gguf |
Q4_K_M | Best balance of size and quality |
Usage
llama.cpp
./llama-cli -m alduin-4b-it-base-Q4_K_M.gguf -p "Your prompt"
Ollama
ollama run hf.co/saeedalone/alduin-4b-it-base-GGUF
LM Studio
Search saeedalone/alduin-4b-it-base-GGUF in the model browser.
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Model tree for saeedalone/alduin-4b-it-base-GGUF
Base model
google/gemma-3-4b-pt Finetuned
google/gemma-3-4b-it Finetuned
Muhammadreza/alduin-4b-it-base