---
language:
- en
license: other
library_name: transformers
tags:
- mergekit
- merge
- Yi
- exllama
- exllamav2
- exl2
base_model: brucethemoose/Yi-34B-200K-RPMerge
model_name: Yi-34B-200K-RPMerge-GGUF
license_name: yi-license
license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
quantized_by: brooketh
parameter_count: 34388945920
---
**
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.
*** # Yi 200K RPMerge 34B - **Creator:** [brucethemoose](https://huggingface.co/brucethemoose/) - **Original:** [Yi 200K RPMerge 34B](https://huggingface.co/brucethemoose/Yi-34B-200K-RPMerge) - **Date Created:** 2024-02-07 - **Trained Context:** 200000 tokens - **Description:** A merge of several Yi 34B models with the goal of instruct-enhanced storytelling at 40K+ context. Very coherent, with a unique personality that feels genuine without being too casual. *** ## 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. ***