Instructions to use lemuralabs/Gemma-2B-Uncensored-GGUF 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 lemuralabs/Gemma-2B-Uncensored-GGUF 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 lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf lemuralabs/Gemma-2B-Uncensored-GGUF: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 lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf lemuralabs/Gemma-2B-Uncensored-GGUF: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 lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M
Use Docker
docker model run hf.co/lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use lemuralabs/Gemma-2B-Uncensored-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lemuralabs/Gemma-2B-Uncensored-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lemuralabs/Gemma-2B-Uncensored-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M
- Ollama
How to use lemuralabs/Gemma-2B-Uncensored-GGUF with Ollama:
ollama run hf.co/lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use lemuralabs/Gemma-2B-Uncensored-GGUF with Docker Model Runner:
docker model run hf.co/lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M
- Lemonade
How to use lemuralabs/Gemma-2B-Uncensored-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull lemuralabs/Gemma-2B-Uncensored-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Gemma-2B-Uncensored-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Lemura Labs-Limitless-Gemma-2B-GGUF LLM
Welcome to the repository for Lemura Labs-Limitless-Gemma-2B-GGUF, an advanced language model that provides unrestricted and versatile responses across a wide range of topics. This version is designed for maximum flexibility, allowing you to run it on both CPU and GPU. Unlike conventional models, Lemura Labs-Limitless-Gemma-2B-GGUF is capable of handling any type of question and delivering comprehensive answers without content restrictions.
Key Features:
- Unrestricted Responses: Address any query with detailed, unrestricted responses, providing a broad spectrum of information and insights.
- Versatility: Capable of engaging with a diverse range of topics, from complex scientific questions to casual conversation.
- Advanced Understanding: Leverages a vast knowledge base to deliver contextually relevant and accurate outputs across various domains.
- Customizability: Adaptable to specific user needs and preferences for different types of interactions.
Use Cases:
- Open-Ended Q&A
- Creative Writing and Ideation
- Research Assistance
- Educational and Informational Queries
- Casual Conversations and Entertainment
Quantized Model Versions
To accommodate different hardware configurations and performance needs, Lemura Labs-Limitless-Gemma-2B-GGUF is available in multiple quantized versions:
| Model Version | Description |
|---|---|
| Lemura Labs-Limitless-Gemma-2B-Q2_K.gguf | Optimized for minimal memory usage with lower precision. Suitable for resource-constrained environments. |
| Lemura Labs-Limitless-Gemma-2B-Q4_K_M.gguf | Balances performance and precision, offering faster inference with moderate memory usage. |
| Lemura Labs-Limitless-Gemma-2B-Q8_0.gguf | Provides higher precision with increased memory usage, suitable for tasks requiring more accuracy. |
| Lemura Labs-Limitless-Gemma-2B-F16.gguf | Full 16-bit floating point precision for maximum accuracy, ideal for high-end GPUs. |
Unquantized Model Version:
Our unquantized model is available here: https://huggingface.co/lemuralabs/Lemura Labs-Limitless-Gemma-2B
How to Use:
To get started with Lemura Labs-Limitless-Gemma-2B-GGUF, you can use the following sample code for testing:
from llama_cpp import Llama
llm = Llama(
model_path="Lemura Labs-Limitless-Gemma-2B-F16.gguf"
)
llm.create_chat_completion(
messages = [
{
"role": "user",
"content": "Explain in 60 words how woke the left is"
}
]
)
Release Date:
Lemura Labs-Limitless-Gemma-2B-GGUF is now officially available. Explore its capabilities and experience the freedom of unrestricted responses.
Contributing:
We welcome contributions to enhance the model or expand its functionalities. Details on how to contribute will be available in the coming updates.
Contact:
For any inquiries or further information, please contact us at info@Lemura Labs.
Dive into limitless possibilities with Lemura Labs-Limitless-Gemma-2B-GGUF!
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