What are the hardware requirements for Qwarkstar 4B?

Qwarkstar 4B requires approximately 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 Qwarkstar 4B and how large is it?

Qwarkstar 4B is developed by qingy2024, 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 Qwarkstar 4B?

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

Qwarkstar 4B by qingy2024 — VRAM 9GB, 32K context

Name: Qwarkstar 4B
Author: qingy2024

Qwarkstar 4B is an open-source language model by qingy2024. Features: 4b LLM, VRAM: 9GB, Context: 32K, LLM Explorer Score: 0.2.

Base model:finetune:qingy2024/... Base model:qingy2024/qwark-4b Dataset:qingy2024/qwark-corpus Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/qingy2024/Qwarkstar-4B

Qwarkstar 4B Parameters and Internals

LLM Name	Qwarkstar 4B
Repository 🤗	https://huggingface.co/qingy2024/Qwarkstar-4B
Base Model(s)	Qwark 4B qingy2024/Qwark-4B
Model Size	4b
Required VRAM	9 GB
Updated	2026-06-10
Maintainer	qingy2024
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 4.0 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwarkstar 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 Qwarkstar 4B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen1.5 4B Chat	32K / 7.9 GB	13877	46
Qwarkstar 4B Instruct Preview	32K / 9 GB	2	2
Qwen1.5 4B	32K / 7.9 GB	16820	36
Qwarkstar 4B Instruct	32K / 9 GB	30	1
Sailor 4B	32K / 7.9 GB	126	6
Sailor 4B Chat	32K / 7.9 GB	155	2
Nusantara 4B Indo Chat	32K / 7.9 GB	59	2
Reyna CoT 4B V0.1	32K / 7.9 GB	103	6
Blossom V5 4B	32K / 7.9 GB	54	2
Quyen V0.1	32K / 7.9 GB	229	12

Note: green Score (e.g. "73.2") means that the model is better than qingy2024/Qwarkstar-4B.