What are the hardware requirements for Vikhr Nemo Orpo Dostoevsky 12B?

Vikhr Nemo Orpo Dostoevsky 12B requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vikhr Nemo Orpo Dostoevsky 12B and how large is it?

Vikhr Nemo Orpo Dostoevsky 12B is developed by IlyaGusev, 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 Vikhr Nemo Orpo Dostoevsky 12B?

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

Vikhr Nemo Orpo Dostoevsky 12B by IlyaGusev — VRAM 24.5GB, 1000K context

Name: Vikhr Nemo Orpo Dostoevsky 12B
Author: IlyaGusev

Vikhr Nemo Orpo Dostoevsky 12B is an open-source language model by IlyaGusev. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Arxiv:2403.07691 Base model:finetune:vikhrmodel... Base model:vikhrmodels/vikhr-n... Dataset:40umov/dostoevsky Instruct Mistral Region:us Ru Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b

Vikhr Nemo Orpo Dostoevsky 12B Parameters and Internals

LLM Name	Vikhr Nemo Orpo Dostoevsky 12b
Repository 🤗	https://huggingface.co/IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b
Base Model(s)	...r Nemo 12B Instruct R 21 09 24 Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-28
Maintainer	IlyaGusev
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	ru
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.45.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<s>
Vocabulary Size	131074
Torch Data Type	bfloat16

Rank the Vikhr Nemo Orpo Dostoevsky 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 Vikhr Nemo Orpo Dostoevsky 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	82	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 IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b.