---
language:
- en
- fr
- de
- es
- it
- pt
- ja
- ko
- zh
- ar
license: cc-by-nc-4.0
library_name: transformers
base_model: CohereForAI/c4ai-command-r-v01
model_name: c4ai-command-r-v01-GGUF
quantized_by: brooketh
---
**
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.
*** # c4ai command r v01 - **Creator:** [CohereForAI](https://huggingface.co/CohereForAI/) - **Original:** [c4ai command r v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01) - **Date Created:** 2024-03-11 - **Trained Context:** 8192 tokens - **Description:** Research release of a 35 billion parameter highly performant generative model optimized for reasoning, summarization, and question answering. Command-R supports multilingual generation in 10 languages and has RAG capabilities. *** ## 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. ***