CoolFace
Modelpublic

lemuralabs/Gemma-2B-Uncensored

sourceHugging Facegemmaupdated 2mo agoView on Hugging Face
7likes76downloads
Model Card

<p align="center"> <img src="logo.png" alt="Lemura Labs" width="110"/> </p>

Lemura Labs-Limitless-Gemma-2B LLM

Format Task Params Type License

Welcome to the repository for Lemura Labs-Limitless-Gemma-2B, an advanced language model that provides unrestricted and versatile responses across a wide range of topics. Unlike conventional models, Lemura Labs-Limitless-Gemma-2B is designed to handle any type of question and deliver 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

How to Use:

To get started with Lemura Labs-Limitless-Gemma-2B, you can use the following sample code for testing:

python
import torch
from transformers import pipeline

pipe = pipeline(
 "text-generation",
 model="lemuralabs/Lemura Labs-Limitless-Gemma-2B",
 model_kwargs={"torch_dtype": torch.bfloat16},
 device="cuda", # replace with "mps" to run on a Mac device
)

messages = [
 {"role": "user", "content": "who are you"},
]

outputs = pipe(messages, max_new_tokens=256)
assistant_response = outputs[0]["generated_text"][-1]["content"].strip()
print(assistant_response)

Release Date:

Lemura Labs-Limitless-Gemma-2B 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.

Quantized Model Versions

To accommodate different hardware configurations and performance needs, Lemura Labs-Limitless-Gemma-2B-GGUF is available in multiple quantized versions:

Model VersionDescription
Lemura Labs-Limitless-Gemma-2B-Q2_K.ggufOptimized for minimal memory usage with lower precision. Suitable for resource-constrained environments.
Lemura Labs-Limitless-Gemma-2B-Q4_K_M.ggufBalances performance and precision, offering faster inference with moderate memory usage.
Lemura Labs-Limitless-Gemma-2B-Q8_0.ggufProvides higher precision with increased memory usage, suitable for tasks requiring more accuracy.
Lemura Labs-Limitless-Gemma-2B-F16.ggufFull 16-bit floating point precision for maximum accuracy, ideal for high-end GPUs.

It is available here: https://huggingface.co/lemuralabs/Lemura Labs-Limitless-Gemma-2B-GGUF

Contact:

For any inquiries or further information, please contact us at info@Lemura Labs.

Dive into limitless possibilities with Lemura Labs-Limitless-Gemma-2B!

Special Thanks to @cognitivecomputations for inspiring us and scouting the best datasets that we could round up to make a rockstar model for you ---