---
base_model: NousResearch/Hermes-3-Llama-3.1-70B
language:
- en
license: llama3
model_name: Hermes-3-Llama-3.1-70B-GGUF
tags:
- Llama-3
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- axolotl
- roleplaying
- chat
quantized_by: brooketh
parameter_count: 70553706560
---
**
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.
*** # Hermes 3 Llama 3.1 70B - **Creator:** [NousResearch](https://huggingface.co/NousResearch/) - **Original:** [Hermes 3 Llama 3.1 70B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-70B) - **Date Created:** 2024-07-29 - **Trained Context:** 131072 tokens - **Description:** Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the board. *** ## 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. ***