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
File size: 1,349 Bytes
40df4ab bda7342 40df4ab bda7342 40df4ab bda7342 40df4ab bda7342 40df4ab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | 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](https://discord.gg/5Umg82h5Bu) 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](https://github.com/huggingface/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:
```bibtex
@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}
}
``` |