What are the hardware requirements for Qwen3 4B Valiant Polaris?

Qwen3 4B Valiant Polaris requires approximately 8.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Valiant Polaris and how large is it?

Qwen3 4B Valiant Polaris is developed by ZeroXClem, 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 Qwen3 4B Valiant Polaris?

Qwen3 4B Valiant Polaris is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Valiant Polaris by ZeroXClem — VRAM 8.2GB, 40K context

Name: Qwen3 4B Valiant Polaris
Author: ZeroXClem

Qwen3 4B Valiant Polaris is an open-source language model by ZeroXClem. Features: 4b LLM, VRAM: 8.2GB, Context: 40K, License: apache-2.0, Merged, LLM Explorer Score: 0.19.

Merged Model 4b Base model:bunnycore/qwen3-4b-... Base model:bunnycore/qwen3-4b-... Base model:polaris-project/pol... Base model:qwen/qwen3-4b Base model:valiantlabs/qwen3-4... Biology Chemistry Code Conversational En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow Valiantpolaris Zeroxclem

Model Card on HF 🤗: https://huggingface.co/ZeroXClem/Qwen3-4B-Valiant-Polaris

Qwen3 4B Valiant Polaris Parameters and Internals

LLM Name	Qwen3 4B Valiant Polaris
Repository 🤗	https://huggingface.co/ZeroXClem/Qwen3-4B-Valiant-Polaris
Base Model(s)	Qwen/Qwen3-4B Qwen3 4B ShiningValiant3 Polaris 4B Preview Qwen3 4B RP V3 Qwen3 4B Dot Goat Qwen/Qwen3-4B ValiantLabs/Qwen3-4B-ShiningValiant3 POLARIS-Project/Polaris-4B-Preview bunnycore/Qwen3-4B-RP-V3 bunnycore/Qwen3-4B-Dot-Goat
Merged Model	Yes
Model Size	4b
Required VRAM	8.2 GB
Updated	2026-07-26
Maintainer	ZeroXClem
Model Type	qwen3
Model Files	1.0 GB: 1-of-9 1.0 GB: 2-of-9 1.0 GB: 3-of-9 1.0 GB: 4-of-9 1.0 GB: 5-of-9 1.0 GB: 6-of-9 1.0 GB: 7-of-9 1.0 GB: 8-of-9 0.2 GB: 9-of-9
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.54.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 4B Valiant Polaris 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 Qwen3 4B Valiant Polaris

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	7	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	468	210
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Typhoon2.5 Qwen3 4B	256K / 8 GB	489877	6
Neuron 4B Instruct	256K / 8.1 GB	313	1

Note: green Score (e.g. "73.2") means that the model is better than ZeroXClem/Qwen3-4B-Valiant-Polaris.