What are the hardware requirements for YandexGPTQ6?

YandexGPTQ6 requires approximately 6.5 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 YandexGPTQ6 and how large is it?

YandexGPTQ6 is developed by mlx-community, 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 YandexGPTQ6?

YandexGPTQ6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

YandexGPTQ6 by mlx-community — VRAM 6.5GB, 32K context

Name: YandexGPTQ6
Author: mlx-community

YandexGPTQ6 is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 6.5GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.21.

6-bit Base model:quantized:yandex/ya... Base model:yandex/yandexgpt-5-... En Instruct Llama Mlx Region:us Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/YandexGPTQ6

YandexGPTQ6 Parameters and Internals

LLM Name	YandexGPTQ6
Repository 🤗	https://huggingface.co/mlx-community/YandexGPTQ6
Base Model(s)	YandexGPT 5 Lite 8B Instruct yandex/YandexGPT-5-Lite-8B-instruct
Model Size	8b
Required VRAM	6.5 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-2 1.2 GB: 2-of-2
Supported Languages	ru en
Model Architecture	LlamaForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Tokenizer Class	LlamaTokenizer
Vocabulary Size	129024
Torch Data Type	float16

Rank the YandexGPTQ6 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 YandexGPTQ6

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...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
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/YandexGPTQ6.