What are the hardware requirements for Sozkz Fix Qwen 500M Kk Gec V3?

Sozkz Fix Qwen 500M Kk Gec V3 requires approximately 0.9 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 Sozkz Fix Qwen 500M Kk Gec V3 and how large is it?

Sozkz Fix Qwen 500M Kk Gec V3 is developed by stukenov, a model with 500m 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 Sozkz Fix Qwen 500M Kk Gec V3?

Sozkz Fix Qwen 500M Kk Gec V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sozkz Fix Qwen 500M Kk Gec V3 by stukenov — VRAM 0.9GB, 32K context

Name: Sozkz Fix Qwen 500M Kk Gec V3
Author: stukenov

Sozkz Fix Qwen 500M Kk Gec V3 is an open-source language model by stukenov. Features: 500m LLM, VRAM: 0.9GB, Context: 32K, License: proprietary, LLM Explorer Score: 0.23.

Base model:finetune:stukenov/s... Base model:stukenov/sozkz-core... Dataset:stukenov/sozkz-gec-syn... Gec Grammatical-error-correction Kazakh Kk Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/stukenov/sozkz-fix-qwen-500m-kk-gec-v3

Sozkz Fix Qwen 500M Kk Gec V3 Parameters and Internals

LLM Name	Sozkz Fix Qwen 500M Kk Gec V3
Repository 🤗	https://huggingface.co/stukenov/sozkz-fix-qwen-500m-kk-gec-v3
Base Model(s)	stukenov/sozkz-core-qwen-500m-kk-base-v1 stukenov/sozkz-core-qwen-500m-kk-base-v1
Model Size	500m
Required VRAM	0.9 GB
Updated	2026-06-09
Maintainer	stukenov
Model Type	qwen2
Model Files	0.9 GB
Supported Languages	kk
Gated Model	Yes
Model Architecture	Qwen2ForCausalLM
License	proprietary
Context Length	32768
Model Max Length	32768
Transformers Version	5.5.4
Vocabulary Size	100000

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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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