lemuralabs/Gemma-3-27B-it-Uncensored

Lemura Labs Gemma-3-27B Instruct Uncensored

Welcome to Lemura Labs's Gemma-3-27B Instruct Uncensored, a powerful and versatile model optimized for unrestricted interactions. Designed for creators, researchers, and AI enthusiasts seeking innovative and boundary-pushing capabilities.

Why Lemura Labs Gemma-3-27B Instruct Uncensored?

• Uncensored Interaction: Generate content freely without artificial restrictions.
• High Intelligence: Exceptional reasoning and comprehensive conversational capabilities.
• Versatile Applications: Perfect for creative writing, educational interactions, research projects, virtual assistance, and more.
• Open and Innovative: Tailored for users who appreciate limitless creativity.

Available GGUF Quantized Models

Quantization	Bits per Weight	Ideal For	Link
Q8_0	8-bit	Best accuracy and performance	[model-Q8_0.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-27B-Instruct-Uncensored-GGUF/blob/main/model-Q8_0.gguf)
Q6_K	6-bit	Strong accuracy and fast inference	[model-Q6_K.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-27B-Instruct-Uncensored-GGUF/resolve/main/model-Q6_K.gguf)
Q5_K_M	5-bit	Balance between accuracy and speed	[model-Q5_K_M.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-27B-Instruct-Uncensored-GGUF/resolve/main/model-Q5_K_M.gguf)
Q3_K_M	3-bit	Low memory usage, good performance	[model-Q3_K_M.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-27B-Instruct-Uncensored-GGUF/resolve/main/model-Q3_K_M.gguf)
TQ2_0	2-bit (Tiny)	Maximum speed and minimal resources	[model-TQ2_0.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-27B-Instruct-Uncensored-GGUF/resolve/main/model-TQ2_0.gguf)
TQ1_0	1-bit (Tiny)	Minimal footprint and fastest inference	[model-TQ1_0.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-27B-Instruct-Uncensored-GGUF/resolve/main/model-TQ1_0.gguf)

Recommended Quantization

• Best accuracy: Use Q8_0 or Q6_K.
• Balanced performance: Use Q5_K_M.
• Small footprint (mobile/edge): Choose Q3_K_M, TQ2_0, or TQ1_0.

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Example Usage (Original Model)

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_name = "lemuralabs/Lemura Labs-Gemma-3-27B-Instruct-Uncensored"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "Tell me a futuristic story about space travel."
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs, max_length=200)
print(tokenizer.decode(output[0], skip_special_tokens=True))

Your AI, Your Way

Unlock your creativity and innovation potential with Lemura Labs Gemma-3-27B Instruct Uncensored. Experience the freedom to create, explore, and innovate without limits.