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Qwen3 4B Valiant Polaris by ZeroXClem

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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: 0.2.

  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 Benchmarks

LLME Score: 0.19525
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Valiant Polaris (ZeroXClem/Qwen3-4B-Valiant-Polaris)
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Qwen3 4B Valiant Polaris Parameters and Internals

LLM NameQwen3 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 ModelYes
Model Size4b
Required VRAM8.2 GB
Updated2026-06-30
MaintainerZeroXClem
Model Typeqwen3
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 Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.54.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

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Lightning 4B256K / 8.1 GB136
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Tac 1256K / 8.1 GB6350
Note: green Score (e.g. "73.2") means that the model is better than ZeroXClem/Qwen3-4B-Valiant-Polaris.

Rank the Qwen3 4B Valiant Polaris 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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