How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf robinsmits/Schaapje-2B-Chat-V1.0-GGUF:
# Run inference directly in the terminal:
llama-cli -hf robinsmits/Schaapje-2B-Chat-V1.0-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf robinsmits/Schaapje-2B-Chat-V1.0-GGUF:
# Run inference directly in the terminal:
llama-cli -hf robinsmits/Schaapje-2B-Chat-V1.0-GGUF:
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 robinsmits/Schaapje-2B-Chat-V1.0-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf robinsmits/Schaapje-2B-Chat-V1.0-GGUF:
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 robinsmits/Schaapje-2B-Chat-V1.0-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf robinsmits/Schaapje-2B-Chat-V1.0-GGUF:
Use Docker
docker model run hf.co/robinsmits/Schaapje-2B-Chat-V1.0-GGUF:
Quick Links

Schaapje logo

Schaapje-2B-Chat-V1.0-GGUF

Introduction

This is a collection of GGUF files created from Schaapje-2B-Chat-V1.0

It contains the files in the following quantization formats:

Q5_0, Q5_K_M, Q6_K, Q8_0

Requirements

Before you can use the GGUF files you need to clone llama.cpp repository and install it following the official guide.

Recommendation

Experimenting with the llama.cpp parameters can have a big impact on the quality of the generated text. It is therefore recommended to do your own experimentation with different settings. In my own experiments it looks like quantization 'Q5_0' or better gives good quality.

Downloads last month
14
GGUF
Model size
3B params
Architecture
granite
Hardware compatibility
Log In to add your hardware

5-bit

6-bit

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including robinsmits/Schaapje-2B-Chat-V1.0-GGUF