Qwen3 MoE 4x0.6B 2.4B Writing Thunder by DavidAU

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Qwen3 MoE 4x0.6B 2.4B Writing Thunder is an open-source language model by DavidAU. Features: 1.5b LLM, VRAM: 3.1GB, Context: 40K, License: apache-2.0, MoE, LLM Explorer Score: 0.21.

  2 active experts   4 experts   40k context   All use cases Base model:merge:qwen/qwen3-0.... Base model:merge:suayptalha/qw... Base model:merge:suayptalha/qw... Base model:merge:suayptalha/qw...   Base model:qwen/qwen3-0.6b Base model:suayptalha/qwen3-0.... Base model:suayptalha/qwen3-0.... Base model:suayptalha/qwen3-0....   Chat   Code   Code generation   Codegen   Codeqwen   Coder   Coding   Conversational   Creative   De   En   Endpoints compatible   Finetuned   Fr   Merge   Mixture of experts   Moe   Qwen   Qwen-coder   Qwen2   Qwen3   Qwen3 moe   Region:us   Roleplay   Safetensors   Zh

Qwen3 MoE 4x0.6B 2.4B Writing Thunder Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 MoE 4x0.6B 2.4B Writing Thunder (DavidAU/Qwen3-MOE-4x0.6B-2.4B-Writing-Thunder)

Qwen3 MoE 4x0.6B 2.4B Writing Thunder Parameters and Internals

LLM NameQwen3 MoE 4x0.6B 2.4B Writing Thunder
Repository 🤗https://huggingface.co/DavidAU/Qwen3-MOE-4x0.6B-2.4B-Writing-Thunder 
Base Model(s)  Qwen/Qwen3-0.6B   suayptalha/Qwen3-0.6B-Code-Expert   suayptalha/Qwen3-0.6B-Math-Expert   suayptalha/Qwen3-0.6B-Medical-Expert   Qwen/Qwen3-0.6B   suayptalha/Qwen3-0.6B-Code-Expert   suayptalha/Qwen3-0.6B-Math-Expert   suayptalha/Qwen3-0.6B-Medical-Expert
Model Size1.5b
Required VRAM3.1 GB
Updated2026-07-19
MaintainerDavidAU
Model Typeqwen3_moe
Model Files  3.1 GB
Supported Languagesen fr zh de
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.55.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...0.6B 2.4B Writing Thunder V1.240K / 3.1 GB434110
...0.6B 2.4B Writing Thunder V1.140K / 3.1 GB500
Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-MOE-4x0.6B-2.4B-Writing-Thunder.

Rank the Qwen3 MoE 4x0.6B 2.4B Writing Thunder 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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Release v20260328a