roleplaiapp
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README.md
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---
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language:
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- en
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inference: false
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fine-tuning: false
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tags:
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- llama-cpp
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- Llama-3.1-Nemotron-70B-Instruct-HF
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- gguf
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- Q5_0
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- 70b
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- 4-bit
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- nemotron
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- llama-cpp
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- nvidia
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- code
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- math
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- chat
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- roleplay
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- text-generation
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- safetensors
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- nlp
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- code
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datasets:
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- nvidia/HelpSteer2
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base_model: meta-llama/Llama-3.1-70B-Instruct
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pipeline_tag: text-generation
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library_name: transformers
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---
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# roleplaiapp/Llama-3.1-Nemotron-70B-Instruct-HF-Q5_0-GGUF
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**Repo:** `roleplaiapp/Llama-3.1-Nemotron-70B-Instruct-HF-Q5_0-GGUF`
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**Original Model:** `Llama-3.1-Nemotron-70B-Instruct-HF`
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**Organization:** `nvidia`
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**Quantized File:** `llama-3.1-nemotron-70b-instruct-hf-q5_0.gguf`
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**Quantization:** `GGUF`
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**Quantization Method:** `Q5_0`
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**Use Imatrix:** `False`
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**Split Model:** `False`
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## Overview
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This is an GGUF Q5_0 quantized version of [Llama-3.1-Nemotron-70B-Instruct-HF](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF).
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## Quantization By
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I often have idle A100 GPUs while building/testing and training the RP app, so I put them to use quantizing models.
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I hope the community finds these quantizations useful.
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Andrew Webby @ [RolePlai](https://roleplai.app/)
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