YandexGPT 5 Lite 8B Instruct Q2 by mlx-community

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YandexGPT 5 Lite 8B Instruct Q2 is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 2.5GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

  2-bit Base model:quantized:yandex/ya... Base model:yandex/yandexgpt-5-...   Conversational   Instruct   Llama   Mlx   Q2   Quantized   Region:us   Ru   Safetensors

YandexGPT 5 Lite 8B Instruct Q2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YandexGPT 5 Lite 8B Instruct Q2 (mlx-community/YandexGPT-5-Lite-8B-instruct-q2)
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YandexGPT 5 Lite 8B Instruct Q2 Parameters and Internals

LLM NameYandexGPT 5 Lite 8B Instruct Q2
Repository ๐Ÿค—https://huggingface.co/mlx-community/YandexGPT-5-Lite-8B-instruct-q2 
Base Model(s)  YandexGPT 5 Lite 8B Instruct   yandex/YandexGPT-5-Lite-8B-instruct
Model Size8b
Required VRAM2.5 GB
Updated2026-03-28
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB
Supported Languagesru
Quantization Typeq2
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Tokenizer ClassLlamaTokenizer
Vocabulary Size129024
Torch Data Typefloat16

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Rank the YandexGPT 5 Lite 8B Instruct Q2 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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Release v20260327b