Instructions to use actionpace/OpenRP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use actionpace/OpenRP 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 actionpace/OpenRP:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf actionpace/OpenRP:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf actionpace/OpenRP:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf actionpace/OpenRP:Q4_K_M

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 actionpace/OpenRP:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf actionpace/OpenRP:Q4_K_M

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 actionpace/OpenRP:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf actionpace/OpenRP:Q4_K_M

Use Docker

docker model run hf.co/actionpace/OpenRP:Q4_K_M

LM Studio
Jan
Ollama
How to use actionpace/OpenRP with Ollama:
```
ollama run hf.co/actionpace/OpenRP:Q4_K_M
```

Unsloth Studio

How to use actionpace/OpenRP 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 actionpace/OpenRP 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 actionpace/OpenRP to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for actionpace/OpenRP to start chatting

Atomic Chat new
Docker Model Runner
How to use actionpace/OpenRP with Docker Model Runner:
```
docker model run hf.co/actionpace/OpenRP:Q4_K_M
```

Lemonade

How to use actionpace/OpenRP with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull actionpace/OpenRP:Q4_K_M

Run and chat with the model

lemonade run user.OpenRP-Q4_K_M

List all available models

lemonade list

OpenRP / README.md

actionpace

Upload README.md with huggingface_hub

4dee680 almost 3 years ago

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	---
	license: other
	language:
	- en
	---
	Some of my own quants:
	* OpenRP_Q4_K_M.gguf
	* OpenRP_Q5_K_M.gguf


	Source: [Undi95](https://huggingface.co/Undi95)

	Source Model: [OpenRP](https://huggingface.co/Undi95/OpenRP)

	Source models for Undi95/OpenRP (Merge)
	- [Open-Orca/OpenOrcaxOpenChat-Preview2-13B](https://huggingface.co/Open-Orca/OpenOrcaxOpenChat-Preview2-13B)
	- [PygmalionAI/pygmalion-2-13b](https://huggingface.co/PygmalionAI/pygmalion-2-13b) ([Ref](https://huggingface.co/actionpace/pygmalion-2-13b))
	- [Undi95/MLewd-L2-13B-v2-3](https://huggingface.co/Undi95/MLewd-L2-13B-v2-3) ([Ref](https://huggingface.co/actionpace/MLewd-L2-13B-v2-3))
	- [jondurbin/spicyboros-13b-2.2](https://huggingface.co/jondurbin/spicyboros-13b-2.2) ([Ref](https://huggingface.co/actionpace/spicyboros-13b-2.2))
	- [lemonilia/limarp-llama2-v2](https://huggingface.co/lemonilia/limarp-llama2-v2) (Lora)