---
language:
- en
inference: false
fine-tuning: false
tags:
- llama-cpp
- Llama-3.1-Nemotron-70B-Instruct-HF
- gguf
- Q2_K
- 70b
- llama
- Nemotron
- llama-cpp
- nvidia
- code
- math
- chat
- roleplay
- text-generation
- safetensors
- nlp
- code
datasets:
- nvidia/HelpSteer2
base_model: meta-llama/Llama-3.1-70B-Instruct
pipeline_tag: text-generation
library_name: transformers
---

# roleplaiapp/Llama-3.1-Nemotron-70B-Instruct-HF-Q2_K-GGUF

**Repo:** `roleplaiapp/Llama-3.1-Nemotron-70B-Instruct-HF-Q2_K-GGUF`  
**Original Model:** `Llama-3.1-Nemotron-70B-Instruct-HF`
**Organization:** `nvidia`
**Quantized File:** `llama-3.1-nemotron-70b-instruct-hf-q2_k.gguf`
**Quantization:** `GGUF`
**Quantization Method:** `Q2_K`  
**Use Imatrix:** `False`  
**Split Model:** `False`

## Overview
This is an GGUF Q2_K quantized version of [Llama-3.1-Nemotron-70B-Instruct-HF](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF).

## Quantization By
I often have idle A100 GPUs while building/testing and training the RP app, so I put them to use quantizing models.
I hope the community finds these quantizations useful.

Andrew Webby @ [RolePlai](https://roleplai.app/)