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Qwen3 Next MoE by tiny-random

 »  All LLMs  »  tiny-random  »  Qwen3 Next MoE   URL Share it on

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  Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-next-80b...   Conversational   Endpoints compatible   Instruct   Qwen3 next   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/tiny-random/qwen3-next-moe 

Qwen3 Next MoE Benchmarks

LLME Score: 0.25565
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Next MoE (tiny-random/qwen3-next-moe)
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Qwen3 Next MoE Parameters and Internals

LLM NameQwen3 Next MoE
Repository 🤗https://huggingface.co/tiny-random/qwen3-next-moe 
Base Model(s)  Qwen3 Next 80B A3B Instruct   Qwen/Qwen3-Next-80B-A3B-Instruct
Model Size80b
Required VRAM0 GB
Updated2025-09-23
Maintainertiny-random
Model Typeqwen3_next
Instruction-BasedYes
Model Files  0.0 GB
Model ArchitectureQwen3NextForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Best Alternatives to Qwen3 Next MoE

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 Next 80B A3B Instruct256K / 162.7 GB2582156841
Qwen3 Next 80B A3B Instruct256K / 162.7 GB312673
...t 80B A3B Instruct FP8 Dynamic256K / 80.5 GB236924
... Instruct Int4 Mixed AutoRound256K / 43.1 GB756314
...0B A3B Instruct Int4 AutoRound256K / 42.3 GB11267
...ext 80B A3B Instruct Mxfp4 Mlx256K / 42 GB5557
...t 80B A3B Instruct Qx86 Hi Mlx256K / 73.5 GB1272
...Next 80B A3B Instruct Bnb 4bit256K / 42.1 GB1745912
...en3 Next 80B A3B Instruct 4bit256K / 44.9 GB623617
...3 Next 80B A3B Instruct Q2 Mlx256K / 24.9 GB30265
Note: green Score (e.g. "73.2") means that the model is better than tiny-random/qwen3-next-moe.

Rank the Qwen3 Next MoE 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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