How to use from
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 robinsmits/Schaapje-2B-Chat-V1.0-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 robinsmits/Schaapje-2B-Chat-V1.0-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for robinsmits/Schaapje-2B-Chat-V1.0-GGUF to start chatting
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