What are the hardware requirements for Kivi 1.5B Asistan?

Kivi 1.5B Asistan requires approximately 3.1 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 Kivi 1.5B Asistan and how large is it?

Kivi 1.5B Asistan is developed by eroltezcan, a model with 1.5b 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 Kivi 1.5B Asistan?

Kivi 1.5B Asistan is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kivi 1.5B Asistan by eroltezcan — VRAM 3.1GB, 32K context

Name: Kivi 1.5B Asistan
Author: eroltezcan

Kivi 1.5B Asistan is an open-source language model by eroltezcan. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Agent Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i... Bootcamp Dataset:eroltezcan/kivi-1.5b-a... Instruct Qlora Qwen2 Rag Region:us Safetensors Tr Turkish

Model Card on HF 🤗: https://huggingface.co/eroltezcan/Kivi-1.5B-Asistan

Kivi 1.5B Asistan Parameters and Internals

LLM Name	Kivi 1.5B Asistan
Repository 🤗	https://huggingface.co/eroltezcan/Kivi-1.5B-Asistan
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-10-22
Maintainer	eroltezcan
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	tr
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.20.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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