What are the hardware requirements for Llama 3 8B Abomination LORA?

Llama 3 8B Abomination LORA requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 8B Abomination LORA and how large is it?

Llama 3 8B Abomination LORA is developed by Blackroot, 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 8B Abomination LORA?

Llama 3 8B Abomination LORA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B Abomination LORA by Blackroot — VRAM 0.7GB

Name: Llama 3 8B Abomination LORA
Author: Blackroot

Llama 3 8B Abomination LORA is an open-source language model by Blackroot. Features: 8b LLM, VRAM: 0.7GB, LLM Explorer Score: 0.13.

Adapter Finetuned Lora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Blackroot/Llama-3-8B-Abomination-LORA

Llama 3 8B Abomination LORA Parameters and Internals

Model Type

RP, storytelling

Additional Notes

This method attempts to bring some of the intrigue and style of the base model back into the instruct model.

Training Details

Data Sources:

semi-structured pretraining data, structured story-instruct data

Methodology:

Trained in four stages with specific tuning phases

Context Length:

8192

LLM Name	Llama 3 8B Abomination LORA
Repository 🤗	https://huggingface.co/Blackroot/Llama-3-8B-Abomination-LORA
Model Size	8b
Required VRAM	0.7 GB
Updated	2026-08-24
Maintainer	Blackroot
Model Files	0.7 GB
Model Architecture	Adapter
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|v_proj\|down_proj\|q_proj\|o_proj\|up_proj\|gate_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	64

Rank the Llama 3 8B Abomination LORA capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Blackroot/Llama-3-8B-Abomination-LORA.