What are the hardware requirements for Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B?

Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B requires approximately 24.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B?

Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B by grimjim — VRAM 24.5GB, 128K context

Name: Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B
Author: grimjim

Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B is an open-source language model by grimjim. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Base model:finetune:mistralai/... Base model:mistralai/mistral-n... Conversational De En Endpoints compatible Es Fr Instruct It Ja Mistral Pt Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B

Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B Parameters and Internals

LLM Name	Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B
Repository 🤗	https://huggingface.co/grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B
Base Model(s)	Mistral Nemo Instruct 2407 mistralai/Mistral-Nemo-Instruct-2407
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-09-11
Maintainer	grimjim
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Supported Languages	en fr de es it pt ru zh ja
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072

Rank the Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B 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 Mistralai Mistral Nemo Instruct 2407 Extensive BP Abliteration 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
Qliphoth 12B V1.1	1000K / 24.5 GB	22	3
Qliphoth 12B V1	1000K / 24.5 GB	26	2
SauerkrautLM Nemo 12B Instruct	1000K / 24.5 GB	1473	22
Magnum V4 12B	1000K / 24.5 GB	1116	54
MN Slush	1000K / 24.5 GB	181	32
...g M Claude Opus High Reasoning	1000K / 24.5 GB	94	3
ChatWaifu V1.4	1000K / 24.5 GB	335	20
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9

Note: green Score (e.g. "73.2") means that the model is better than grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.