What are the hardware requirements for Abliteration OVA 8B R128 LORA?

Abliteration OVA 8B R128 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 Abliteration OVA 8B R128 LORA and how large is it?

Abliteration OVA 8B R128 LORA is developed by DreadPoor, 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 Abliteration OVA 8B R128 LORA?

Abliteration OVA 8B R128 LORA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Abliteration OVA 8B R128 LORA by DreadPoor — VRAM 0.7GB

Name: Abliteration OVA 8B R128 LORA
Author: DreadPoor

Abliteration OVA 8B R128 LORA is an open-source language model by DreadPoor. Features: 8b LLM, VRAM: 0.7GB, Instruction-Based, LLM Explorer Score: 0.15.

Base model:finetune:nousresear... Base model:nousresearch/meta-l... Endpoints compatible Instruct Lora Mergekit Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/DreadPoor/abliteration-OVA-8B-r128-LORA

Abliteration OVA 8B R128 LORA Parameters and Internals

LLM Name	Abliteration OVA 8B R128 LORA
Repository 🤗	https://huggingface.co/DreadPoor/abliteration-OVA-8B-r128-LORA
Base Model(s)	NousResearch/Meta-Llama-3.1-8B-Instruct grimjim/Llama-3-Instruct-abliteration-OVA-8B NousResearch/Meta-Llama-3.1-8B-Instruct grimjim/Llama-3-Instruct-abliteration-OVA-8B
Model Size	8b
Required VRAM	0.7 GB
Updated	2026-08-03
Maintainer	DreadPoor
Instruction-Based	Yes
Model Files	0.7 GB
Model Architecture	AutoModel
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|q_proj\|k_proj\|embed_tokens\|lm_head\|gate_proj\|down_proj\|v_proj\|up_proj
LoRA Alpha	128
LoRA Dropout	0
R Param	128

Rank the Abliteration OVA 8B R128 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

Best Alternatives to Abliteration OVA 8B R128 LORA

Best Alternatives	Context / RAM	Downloads	Likes
Ur Orpo Adapter	0K / 0.2 GB	18	0
Witcher Llama3 8B Lora	0K / 0 GB	3	2
L3 Unaligned R256 LoRA	0K / 1.5 GB	0	1
AblDWP LoRA	0K / 0.4 GB	0	1
Llama31 Eros Lora	0K / 0.2 GB	0	1
Talktoai	0K / 16.1 GB	0	2
Llama3.1 8b Outline Generation	0K / 0.2 GB	0	1
... Instruct Abliteration LoRA 8B	0K / 0.2 GB	0	9
Llama 3 8B Instruct Checkit	0K / 0.2 GB	0	1
...3 8B Instruct Ct2 Int8 Float16	0K / 8 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than DreadPoor/abliteration-OVA-8B-r128-LORA.