What are the hardware requirements for Llama 3 70B Instruct Abliterated LORA?

Llama 3 70B Instruct Abliterated LORA requires approximately 1.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 70B Instruct Abliterated LORA and how large is it?

Llama 3 70B Instruct Abliterated LORA is developed by mlabonne, a model with 70b 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 70B Instruct Abliterated LORA?

Llama 3 70B Instruct Abliterated LORA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 70B Instruct Abliterated LORA by mlabonne — VRAM 1.7GB

Name: Llama 3 70B Instruct Abliterated LORA
Author: mlabonne

Llama 3 70B Instruct Abliterated LORA is an open-source language model by mlabonne. Features: 70b LLM, VRAM: 1.7GB, Instruction-Based, LLM Explorer Score: 0.14.

Base model:failspy/llama-3-70b... Base model:finetune:failspy/ll... Endpoints compatible Instruct Lora Mergekit Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlabonne/Llama-3-70B-Instruct-abliterated-LORA

Llama 3 70B Instruct Abliterated LORA Parameters and Internals

Model Type

language model

Additional Notes

This is a LoRA extracted from a language model using mergekit.

LLM Name	Llama 3 70B Instruct Abliterated LORA
Repository 🤗	https://huggingface.co/mlabonne/Llama-3-70B-Instruct-abliterated-LORA
Base Model(s)	...ama 3 70B Instruct Abliterated failspy/llama-3-70B-Instruct-abliterated
Model Size	70b
Required VRAM	1.7 GB
Updated	2026-07-16
Maintainer	mlabonne
Instruction-Based	Yes
Model Files	1.7 GB
Model Architecture	AutoModel
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	lm_head\|gate_proj\|q_proj\|k_proj\|o_proj\|v_proj\|down_proj\|up_proj
LoRA Alpha	64
LoRA Dropout	0
R Param	64

Rank the Llama 3 70B Instruct Abliterated 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 Llama 3 70B Instruct Abliterated LORA

Best Alternatives	Context / RAM	Downloads	Likes
... Distil Llama 3.3 70B Instruct	0K / 0.8 GB	9	3
CodeLlama 70B Instruct GGUF	0K / 25.5 GB	1375	64
Meta Llama 3 70B Instruct GGUF	0K / 26.4 GB	133	4
DAD Model V2 70B Q4	0K / 42.5 GB	13	0
Swallow 70B Instruct GGUF	0K / 29.4 GB	1495	9
Leo Hessianai 70B Chat GGUF	0K / 29.3 GB	617	1
...tablelm Instruct Beta 70B GGUF	0K / 29.3 GB	1334	12
Dolphin 2.2 70B GGUF	0K / 29.3 GB	732	17
...e Llama 2 70B Instruct V2 GGUF	0K / 29.3 GB	961	9
Llama 2 70B Orca 200K GGUF	0K / 29.3 GB	901	22

Note: green Score (e.g. "73.2") means that the model is better than mlabonne/Llama-3-70B-Instruct-abliterated-LORA.