---
language:
- en
license: cc-by-nc-4.0
base_model: Sao10K/L3-8B-Stheno-v3.3-32K
model_name: L3-8B-Stheno-v3.3-32K-GGUF
quantized_by: brooketh
parameter_count: 8030261248
pipeline_tag: text-generation
tags:
- llama
- Sao10K/L3-8B-Stheno-v3.3-32K
- text-generation-inference
---
**
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.
*** # L3 Stheno V3.3 32K 8B - **Creator:** [Sao10K](https://huggingface.co/Sao10K/) - **Original:** [L3 Stheno V3.3 32K 8B](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.3-32K) - **Date Created:** 2024-06-22 - **Trained Context:** 32768 tokens - **Description:** Version 3.3 of the popular Stheno series, capable of 32K context. A model made for 1-on-1 roleplay, but also able to handle scenarios, RPGs and storywriting. Uncensored during actual roleplay scenarios. *** ## 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. ***