What are the hardware requirements for Llama 3.1 Base Kg Extraction?

Llama 3.1 Base Kg Extraction requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 Base Kg Extraction and how large is it?

Llama 3.1 Base Kg Extraction is developed by oberbics, 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 Base Kg Extraction?

Llama 3.1 Base Kg Extraction is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 Base Kg Extraction by oberbics — VRAM 0.2GB

Name: Llama 3.1 Base Kg Extraction
Author: oberbics

Llama 3.1 Base Kg Extraction is an open-source language model by oberbics. Features: 8b LLM, VRAM: 0.2GB, License: llama3.1, LLM Explorer Score: 0.29.

Base model:adapter:meta-llama/... Base model:meta-llama/llama-3.... Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/oberbics/llama-3.1-base-kg-extraction

Llama 3.1 Base Kg Extraction Parameters and Internals

LLM Name	Llama 3.1 Base Kg Extraction
Repository 🤗	https://huggingface.co/oberbics/llama-3.1-base-kg-extraction
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	0.2 GB
Updated	2026-08-13
Maintainer	oberbics
Model Files	0.2 GB 0.0 GB
Model Architecture	AutoModel
License	llama3.1
Model Max Length	131072
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|end_of_text\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|v_proj\|down_proj\|gate_proj\|up_proj\|q_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

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Instruction Following and Task Automation
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Text Generation
Text Summarization and Feature Extraction
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