What are the hardware requirements for Cisimcik 4B?

Cisimcik 4B requires approximately 8.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cisimcik 4B and how large is it?

Cisimcik 4B is developed by cisimcik, a model with 4b 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 Cisimcik 4B?

Cisimcik 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cisimcik 4B by cisimcik — VRAM 8.4GB, 256K context

Name: Cisimcik 4B
Author: cisimcik

Cisimcik 4B is an open-source language model by cisimcik. Features: 4b LLM, VRAM: 8.4GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.32.

Base model:cisimcik/cisimcik-b... Base model:finetune:cisimcik/c... Chat Conversational Dataset:cisimcik/turkish-chat-... En Endpoints compatible Function-calling Gated-deltanet Hybrid-attention Instruct Instruction-following Model-index Pytorch Qwen3.5 Qwen3 5 text Reasoning Region:us Safetensors Sharded Tensorflow Thinking Tool-calling Tr Turkish

Model Card on HF 🤗: https://huggingface.co/cisimcik/cisimcik-4b

Cisimcik 4B Parameters and Internals

LLM Name	Cisimcik 4B
Repository 🤗	https://huggingface.co/cisimcik/cisimcik-4b
Base Model(s)	Cisimcik Base cisimcik/cisimcik-base
Model Size	4b
Required VRAM	8.4 GB
Updated	2026-10-08
Maintainer	cisimcik
Model Type	qwen3_5_text
Instruction-Based	Yes
Model Files	4.5 GB: 1-of-2 3.9 GB: 2-of-2
Supported Languages	tr en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Torch Data Type	bfloat16
Errors	replace

Rank the Cisimcik 4B 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 Cisimcik 4B

Best Alternatives	Context / RAM	Downloads	Likes
NeoHorse 1 4B	256K / 8.4 GB	1771	179
...ihui NeoHorse 1 4B Abliterated	256K / 8.4 GB	546	4
NeoHorse 1 4B FP8	256K / 4.8 GB	221	1
NeoHorse 1 4B	256K / 8.4 GB	125	1
NeoHorse 1 4B 4bit	256K / 2.4 GB	118	2
Mind Mem 4B	256K / 2.7 GB	22	1

Note: green Score (e.g. "73.2") means that the model is better than cisimcik/cisimcik-4b.