What are the hardware requirements for Bina 0.3 Koochik?

Bina 0.3 Koochik requires approximately 1.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bina 0.3 Koochik and how large is it?

Bina 0.3 Koochik is developed by Reza2kn, a model with 665.7m 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 Bina 0.3 Koochik?

Bina 0.3 Koochik is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bina 0.3 Koochik by Reza2kn — VRAM 1.3GB

Name: Bina 0.3 Koochik
Author: Reza2kn

Bina 0.3 Koochik is an open-source language model by Reza2kn. Features: 665.7m LLM, VRAM: 1.3GB, License: other, LLM Explorer Score: 0.31.

Base model:finetune:reza2kn/bi... Base model:reza2kn/bina-0.1-ko... Conversational Dataset:reza2kn/bina-0.3-kooch... Endpoints compatible Fa Full-page Image-text-to-text Lora Ocr Persian Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Reza2kn/Bina-0.3-Koochik

Bina 0.3 Koochik Parameters and Internals

LLM Name	Bina 0.3 Koochik
Repository 🤗	https://huggingface.co/Reza2kn/Bina-0.3-Koochik
Base Model(s)	Reza2kn/Bina-0.1-Koochik Reza2kn/Bina-0.1-Koochik
Model Size	665.7m
Required VRAM	1.3 GB
Updated	2026-10-17
Maintainer	Reza2kn
Model Type	qwen3_5
Model Files	1.3 GB
Supported Languages	fa
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
LoRA Model	Yes

Rank the Bina 0.3 Koochik 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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Bina 0.1 Koochik FP16	0K / 1.3 GB	88	0