What are the hardware requirements for Llama 3.1 8B Instruct DPO 0R100L PoliTune?

Llama 3.1 8B Instruct DPO 0R100L PoliTune requires approximately 16.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 8B Instruct DPO 0R100L PoliTune and how large is it?

Llama 3.1 8B Instruct DPO 0R100L PoliTune is developed by shariar076, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama 3.1 8B Instruct DPO 0R100L PoliTune?

Llama 3.1 8B Instruct DPO 0R100L PoliTune is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Instruct DPO 0R100L PoliTune by shariar076 — VRAM 16.1GB

Name: Llama 3.1 8B Instruct DPO 0R100L PoliTune
Author: shariar076

Llama 3.1 8B Instruct DPO 0R100L PoliTune is an open-source language model by shariar076. Features: 8b LLM, VRAM: 16.1GB, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.17.

Arxiv:2204.05149 Adapter Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational De En Es Facebook Finetuned Fr Hi Instruct It Llama Llama-3 Lora Meta Pt Pytorch Region:us Safetensors Sharded Tensorflow Th

Model Card on HF 🤗: https://huggingface.co/shariar076/Llama-3.1-8B-Instruct-DPO-0R100L-PoliTune

Llama 3.1 8B Instruct DPO 0R100L PoliTune Parameters and Internals

LLM Name	Llama 3.1 8B Instruct DPO 0R100L PoliTune
Repository 🤗	https://huggingface.co/shariar076/Llama-3.1-8B-Instruct-DPO-0R100L-PoliTune
Base Model(s)	meta-llama/Meta-Llama-3.1-8B meta-llama/Meta-Llama-3.1-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-28
Maintainer	shariar076
Instruction-Based	Yes
Model Files	0.1 GB 0.1 GB 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en de fr it pt hi es th
Model Architecture	Adapter
License	llama3.1
Model Max Length	131072
Tokenizer Class	PreTrainedTokenizerFast
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj\|o_proj\|gate_proj\|down_proj\|up_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	16

Rank the Llama 3.1 8B Instruct DPO 0R100L PoliTune capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than shariar076/Llama-3.1-8B-Instruct-DPO-0R100L-PoliTune.