Instructions to use generalchucklese/OpenClyde-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use generalchucklese/OpenClyde-1B 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 generalchucklese/OpenClyde-1B:Q4_0 # Run inference directly in the terminal: llama cli -hf generalchucklese/OpenClyde-1B:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf generalchucklese/OpenClyde-1B:Q4_0 # Run inference directly in the terminal: llama cli -hf generalchucklese/OpenClyde-1B:Q4_0
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 generalchucklese/OpenClyde-1B:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf generalchucklese/OpenClyde-1B:Q4_0
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 generalchucklese/OpenClyde-1B:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf generalchucklese/OpenClyde-1B:Q4_0
Use Docker
docker model run hf.co/generalchucklese/OpenClyde-1B:Q4_0
- LM Studio
- Jan
- Ollama
How to use generalchucklese/OpenClyde-1B with Ollama:
ollama run hf.co/generalchucklese/OpenClyde-1B:Q4_0
- Unsloth Studio
How to use generalchucklese/OpenClyde-1B 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 generalchucklese/OpenClyde-1B 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 generalchucklese/OpenClyde-1B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for generalchucklese/OpenClyde-1B to start chatting
- Docker Model Runner
How to use generalchucklese/OpenClyde-1B with Docker Model Runner:
docker model run hf.co/generalchucklese/OpenClyde-1B:Q4_0
- Lemonade
How to use generalchucklese/OpenClyde-1B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull generalchucklese/OpenClyde-1B:Q4_0
Run and chat with the model
lemonade run user.OpenClyde-1B-Q4_0
List all available models
lemonade list
- Atomic Chat
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
base_model: GreekIceDragon/gemma-3-1b-abliterated library_name: peft model_name: OpenClyde tags: - base_model:adapter:GreekIceDragon/gemma-3-1b-abliterated - lora - sft - transformers - trl licence: license pipeline_tag: text-generation
What is this?
This is a model trained using pytorch on around 3000 lines of data from Discord's shut down AI, Clyde. It is almost completely accurate, but struggles to keep its personality in unusual situations Come Join Us on Discord to follow updates
Model Card for gemma3-clyde-finetune
This model is a fine-tuned version of Gemma 3 1B (abliterated by GeekIceDragon) It has been trained using TRL.
Training procedure
This model was trained with SFT.
Framework versions
- PEFT 0.19.1
- TRL: 1.8.0
- Transformers: 5.13.1
- Pytorch: 2.13.0
- Datasets: 5.0.0
- Tokenizers: 0.22.2
Citations
Cite TRL as:
@software{vonwerra2020trl,
title = {{TRL: Transformers Reinforcement Learning}},
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
license = {Apache-2.0},
url = {https://github.com/huggingface/trl},
year = {2020}
}
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