---
base_model: AetherResearch/Cerebrum-1.0-8x7b
license: other
language:
- en
library_name: transformers
pipeline_tag: text-generation
quantized_by: brooketh
tags:
- 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.
*** # Cerebrum 1.0 8x7b - **Creator:** [AetherResearch](https://huggingface.co/AetherResearch/) - **Original:** [Cerebrum 1.0 8x7b](https://huggingface.co/AetherResearch/Cerebrum-1.0-8x7b) - **Date Created:** 2024-03-21 - **Trained Context:** 4096 tokens - **Description:** Mixtral 8x7b-based model created specifically for reasoning tasks, finetuned using the native chain of thought approach. *** ## 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. ***