---
base_model: TheDrummer/Tiger-Gemma-9B-v1
model_name: Tiger-Gemma-9B-v1-GGUF
quantized_by: brooketh
parameter_count: 9241705984
---
**
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.
*** # Tiger Gemma V1 9B - **Creator:** [TheDrummer](https://huggingface.co/TheDrummer/) - **Original:** [Tiger Gemma V1 9B](https://huggingface.co/TheDrummer/Tiger-Gemma-9B-v1) - **Date Created:** 2024-07-12 - **Trained Context:** 8192 tokens - **Description:** Decensored version of Gemma 9B. Very good at not refusing any request while remaining as coherent as base Gemma 9B. *** ## 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. ***