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---
library_name: transformers
language:
- en
- fr
- it
- pt
- hi
- es
- th
- de
base_model:
- meta-llama/Llama-3.1-70B
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
- Llama-3.3-70B-Instruct
- llama-cpp
- gguf
- Q3_K_S
- meta-llama
- code
- math
- chat
- roleplay
- text-generation
- safetensors
- nlp
- code
license: llama3.3
pipeline_tag: text-generation
---
# roleplaiapp/Llama-3.3-70B-Instruct-Q3_K_S-GGUF
**Repo:** `roleplaiapp/Llama-3.3-70B-Instruct-Q3_K_S-GGUF`
**Original Model:** `Llama-3.3-70B-Instruct`
**Organization:** `meta-llama`
**Quantized File:** `llama-3.3-70b-instruct-q3_k_s.gguf`
**Quantization:** `GGUF`
**Quantization Method:** `Q3_K_S`
**Use Imatrix:** `False`
**Imatrix Quant Method:** `IQ4_NL`
**Split Model:** `True`
## Overview
This is an GGUF Q3_K_S quantized version of [Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct).
## 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/)
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