lemuralabs/Gemma-3-27B-it-Uncensored-GGUF overview
<p align="center" <img src="logo.png" alt="Lemura Labs" width="110"/ </p Lemura Labs Gemma 3 27B Instruct Uncensored GGUF Format https://img.shields.io/badge/F…
Runs locally from ~6.12 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | lemuralabs/Gemma-3-27B-it-Uncensored-GGUF |
|---|---|
| Author | lemuralabs |
| Pipeline | — |
| License | gemma |
| Base model | — |
| Last modified | 2026-08-05T19:16:42.000Z |
Model README
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license: gemma
tags:
- Uncensored
---
<p align="center">
<img src="logo.png" alt="Lemura Labs" width="110"/>
</p>
Lemura Labs Gemma-3-27B-Instruct Uncensored GGUF
!Format !Params !Type !License
At Lemura Labs, we're committed to delivering powerful, versatile, and unrestricted AI experiences. The Lemura Labs Gemma-3-27B-Instruct Uncensored GGUF collection provides quantized models optimized for efficient performance, enabling fast inference without compromising the quality of your interactions. Ideal for anyone seeking an open, uncensored AI experience with remarkable flexibility and accessibility.
Why Choose Lemura Labs Gemma-3-27B-Instruct Uncensored?
- Uncensored Experience: Engage openly, freely, and creatively without restrictive guardrails.
- Efficiency: Optimized quantization ensures high-quality responses at reduced computational costs.
- Versatility: Ideal for chatbots, creative writing, virtual assistants, education, research, and more.
- Community Driven: Built for users who value openness and innovation in AI interaction.
Download GGUF Models
We offer various GGUF quantized formats optimized for diverse needs. Choose the format that matches your desired balance between performance and efficiency:
| Model Version | Bits per Weight | Best For | Download Link |
|---------------|-----------------|----------|---------------|
| Q8_0 | 8-bit | Maximum accuracy and high performance | model-Q8_0.gguf |
| Q6_K | 6-bit | Excellent balance of speed and accuracy | model-Q6_K.gguf |
| Q5_K_M | ~5-bit | Balanced accuracy and lower memory usage | model-Q5_K_M.gguf |
| Q3_K_M | 3-bit | Good for limited hardware resources | model-Q3_K_M.gguf |
| TQ2_0 | Tiny 2-bit | Fast inference, minimal memory | model-TQ2_0.gguf |
| TQ1_0 | Tiny 1-bit | Extreme efficiency, minimal footprint | model-TQ1_0.gguf |
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Recommended Quantization:
- For top-quality applications: Use Q8_0 or Q6_K.
- Balanced accuracy & performance: Choose Q5_K_M.
- Mobile or hardware-constrained environments: Go with Q3_K_M, TQ2_0, or TQ1_0.
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Exciting Use Cases
- Creative Writing & Storytelling: Generate creative narratives and stories without limitations.
- Virtual Assistants: Provide unrestricted assistance and guidance.
- Educational Platforms: Engage students with open-ended questions and discussions.
- Research & Experimentation: Test boundary-pushing ideas without censorship.
- Interactive Fiction & Gaming: Create rich, immersive, and dynamic worlds.
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Experience AI Without Boundaries
With Lemura Labs Gemma-3-27B-Instruct Uncensored GGUF, push the boundaries of what's possible. Discover limitless creativity, explore freely, and enjoy a genuinely uncensored AI interaction.
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Enjoy your unrestricted AI journey with Lemura Labs!
Run lemuralabs/Gemma-3-27B-it-Uncensored-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models