What are the hardware requirements for DPO Llama3 8B Grammar Rules?

DPO Llama3 8B Grammar Rules requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DPO Llama3 8B Grammar Rules and how large is it?

DPO Llama3 8B Grammar Rules is developed by hannahbillo, 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 DPO Llama3 8B Grammar Rules?

DPO Llama3 8B Grammar Rules is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DPO Llama3 8B Grammar Rules by hannahbillo — VRAM 0.1GB

Name: DPO Llama3 8B Grammar Rules
Author: hannahbillo

DPO Llama3 8B Grammar Rules is an open-source language model by hannahbillo. Features: 8b LLM, VRAM: 0.1GB, License: llama3.1, LLM Explorer Score: 0.13.

Adapter Base model:adapter:meta-llama/... Base model:meta-llama/llama-3.... Dpo Finetuned Generated from trainer Lora Peft Region:us Safetensors Tensorboard Trl

Model Card on HF 🤗: https://huggingface.co/hannahbillo/dpo-llama3-8b-grammar-rules

DPO Llama3 8B Grammar Rules Parameters and Internals

LLM Name	DPO Llama3 8B Grammar Rules
Repository 🤗	https://huggingface.co/hannahbillo/dpo-llama3-8b-grammar-rules
Base Model(s)	meta-llama/Meta-Llama-3.1-8B meta-llama/Meta-Llama-3.1-8B
Model Size	8b
Required VRAM	0.1 GB
Updated	2026-08-04
Maintainer	hannahbillo
Model Files	0.1 GB 0.0 GB
Model Architecture	Adapter
License	llama3.1
Model Max Length	131072
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|up_proj\|v_proj\|o_proj\|k_proj\|gate_proj\|down_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	6

Rank the DPO Llama3 8B Grammar Rules 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 hannahbillo/dpo-llama3-8b-grammar-rules.