---
tags:
- uncencored
- llama-3
- tess
- lumimaid
- Lumi-tess
base_model: ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient
model_name: Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF
quantized_by: brooketh
parameter_count: 70553706496
---
**
The official library of GGUF format models for use in the local AI chat app, Backyard AI.
**Download Backyard AI here to get started.
Request Additional models at r/LLM_Quants.
*** # Llama 3 Uncensored Lumi Tess Gradient 70B - **Creator:** [ryzen88](https://huggingface.co/ryzen88/) - **Original:** [Llama 3 Uncensored Lumi Tess Gradient 70B](https://huggingface.co/ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient) - **Date Created:** 2024-05-10 - **Trained Context:** 262144 tokens - **Description:** Good Llama3 uncensored model with a long context, made using a breadcrumb ties merger of Instruct-gradient, Lumimaid, and Tess models. Works with a very wide range of sampler settings. *** ## What is a GGUF? GGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Backyard AI. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware. GGUF models are quantized to reduce resource usage, with a tradeoff of reduced coherence at lower quantizations. Quantization reduces the precision of the model weights by changing the number of bits used for each weight. ***