What are the hardware requirements for Vikhr YandexGPT 5 Lite 8B It?

Vikhr YandexGPT 5 Lite 8B It requires approximately 16.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vikhr YandexGPT 5 Lite 8B It and how large is it?

Vikhr YandexGPT 5 Lite 8B It is developed by Vikhrmodels, 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 Vikhr YandexGPT 5 Lite 8B It?

Vikhr YandexGPT 5 Lite 8B It is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vikhr YandexGPT 5 Lite 8B It by Vikhrmodels — VRAM 16.1GB, 32K context

Name: Vikhr YandexGPT 5 Lite 8B It
Rating: 4 (2 reviews)
Author: Vikhrmodels

Vikhr YandexGPT 5 Lite 8B It is an open-source language model by Vikhrmodels. Features: 8b LLM, VRAM: 16.1GB, Context: 32K, License: other, LLM Explorer Score: 0.17.

Arxiv:2405.13929 Base model:finetune:yandex/yan... Base model:yandex/yandexgpt-5-... Conversational Dataset:vikhrmodels/grandmaste... Dataset:vikhrmodels/grounded-r... En Endpoints compatible Llama Region:us Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it

Vikhr YandexGPT 5 Lite 8B It Parameters and Internals

LLM Name	Vikhr YandexGPT 5 Lite 8B It
Repository 🤗	https://huggingface.co/Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it
Model Name	Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it
Base Model(s)	YandexGPT 5 Lite 8B Pretrain yandex/YandexGPT-5-Lite-8B-pretrain
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-26
Maintainer	Vikhrmodels
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	ru en
Model Architecture	LlamaForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizer
Padding Token	[SPEC_TOKEN_1001]
Vocabulary Size	129024
Torch Data Type	bfloat16

Rank the Vikhr YandexGPT 5 Lite 8B It 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

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...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it.