What are the hardware requirements for Mistral Nemo 12B Abliterated LORA?

Mistral Nemo 12B Abliterated LORA requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Nemo 12B Abliterated LORA and how large is it?

Mistral Nemo 12B Abliterated LORA is developed by nbeerbower, a model with 12b 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 Mistral Nemo 12B Abliterated LORA?

Mistral Nemo 12B Abliterated LORA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Nemo 12B Abliterated LORA by nbeerbower — VRAM 0.5GB

Name: Mistral Nemo 12B Abliterated LORA
Author: nbeerbower

Mistral Nemo 12B Abliterated LORA is an open-source language model by nbeerbower. Features: 12b LLM, VRAM: 0.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Base model:finetune:mistralai/... Base model:mistralai/mistral-n... Endpoints compatible Instruct Lora Mergekit Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nbeerbower/Mistral-Nemo-12B-abliterated-LORA

Mistral Nemo 12B Abliterated LORA Parameters and Internals

LLM Name	Mistral Nemo 12B Abliterated LORA
Repository 🤗	https://huggingface.co/nbeerbower/Mistral-Nemo-12B-abliterated-LORA
Base Model(s)	Mistral Nemo Instruct 2407 ...Nemo Instruct 2407 Abliterated mistralai/Mistral-Nemo-Instruct-2407 natong19/Mistral-Nemo-Instruct-2407-abliterated
Model Size	12b
Required VRAM	0.5 GB
Updated	2026-08-03
Maintainer	nbeerbower
Instruction-Based	Yes
Model Files	0.5 GB
Model Architecture	AutoModel
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|v_proj\|up_proj\|lm_head\|o_proj\|gate_proj\|embed_tokens\|k_proj\|q_proj
LoRA Alpha	64
LoRA Dropout	0
R Param	64

Rank the Mistral Nemo 12B Abliterated LORA 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

Best Alternatives to Mistral Nemo 12B Abliterated LORA

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Llama3 12B Wwe GGUF	0K / 5.3 GB	189	0
Calme 12B Instruct V0.1 GGUF	0K / 4.7 GB	381	2