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

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

OpenClyde-1B / README.md

generalchucklese

Update README.md

bda7342 verified about 1 month ago

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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}
}