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WebWorld 8B by Qwen

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WebWorld 8B is an open-source language model by Qwen. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

  Arxiv:2602.14721   A11y Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b   Browser   Conversational   Dataset:qwen/webworlddata   Deploy:azure   En   Endpoints compatible   Html   Instruct   Long-context   Long-horizon   Markdown   Qwen3   Region:us   Safetensors   Sharded   Simulator   Synthetic-trajectories   Tensorflow   Web-agent   Webworld   World-model   Xml   Zh
Model Card on HF 🤗: https://huggingface.co/Qwen/WebWorld-8B 

WebWorld 8B Benchmarks

LLME Score: 0.24992
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WebWorld 8B (Qwen/WebWorld-8B)
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WebWorld 8B Parameters and Internals

LLM NameWebWorld 8B
Repository 🤗https://huggingface.co/Qwen/WebWorld-8B 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.4 GB
Updated2026-05-08
MaintainerQwen
Model Typeqwen3
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.6 GB: 4-of-4
Supported Languagesen zh
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to WebWorld 8B

Best Alternatives
Context / RAM
Downloads
Likes
...epSeek R1 0528 Qwen3 8B Esper3128K / 32.7 GB113
WebWorld 32B40K / 65.8 GB2516
ATLAS 8B Instruct40K / 16.4 GB192
QVikhr 3 8B Instruction40K / 16.4 GB699
Qwen3 8B ShiningValiant340K / 32.7 GB153
Qwen3 8B Shadow FT BAAI 2K40K / 16.4 GB60
Qwen3 8B Esper340K / 32.7 GB1322
Supertron1 8B32K / 16.4 GB20204
Gradients Instruct 8B32K / 32.7 GB61
Q3 8B Kintsugi32K / 16.4 GB85
Note: green Score (e.g. "73.2") means that the model is better than Qwen/WebWorld-8B.

Rank the WebWorld 8B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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