README.md

---
base_model: CohereForAI/c4ai-command-r-08-2024
language:
- en
- fr
- de
- es
- it
- pt
- ja
- ko
- zh
- ar
library_name: transformers
license: cc-by-nc-4.0
model_name: c4ai-command-r-08-2024-GGUF
extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and
  acknowledge that the information you provide will be collected, used, and shared
  in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy).
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    options:
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  I agree to use this model for non-commercial use ONLY: checkbox
quantized_by: brooketh
parameter_count: 32296476672
---
<img src="BackyardAI_Banner.png" alt="Backyard.ai" style="height: 90px; min-width: 32px; display: block; margin: auto;">

**<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, Backyard AI.</p>**

<p style="text-align: center;"><a href="https://backyard.ai/">Download Backyard AI here to get started.</a></p>

<p style="text-align: center;"><a href="https://www.reddit.com/r/LLM_Quants/">Request Additional models at r/LLM_Quants.</a></p>

***
# C4ai Command R 08 2024 34B
- **Creator:** [CohereForAI](https://huggingface.co./CohereForAI/)
- **Original:** [C4ai Command R 08 2024 34B](https://huggingface.co./CohereForAI/c4ai-command-r-08-2024)
- **Date Created:** 2024-08-19
- **Trained Context:** 131072 tokens
- **Description:** Research release of a 32 billion parameter highly performant generative model with open weights optimized for a variety of use cases including reasoning, summarization, and question answering. Has the capability for multilingual generation, trained on 23 languages and evaluated in 10 languages and highly performant 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.

***
<img src="BackyardAI_Logo.png" alt="Backyard.ai" style="height: 75px; min-width: 32px; display: block; horizontal align: left;">

## Backyard AI
- Free, local AI chat application.
- One-click installation on Mac and PC.
- Automatically use GPU for maximum speed.
- Built-in model manager.
- High-quality character hub.
- Zero-config desktop-to-mobile tethering.
Backyard AI makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models without worrying about whether it's the correct format. Backyard AI supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable.
**Join us on [Discord](https://discord.gg/SyNN2vC9tQ)**
***