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Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic by DevQuasar

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Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic is an open-source language model by DevQuasar. Features: 80b LLM, VRAM: 80.5GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.22.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-next-80b...   Compressed-tensors   Conversational   Instruct   Qwen3 next   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DevQuasar/Qwen.Qwen3-Next-80B-A3B-Instruct-FP8-Dynamic 

Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic Benchmarks

LLME Score: 0.2162
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic (DevQuasar/Qwen.Qwen3-Next-80B-A3B-Instruct-FP8-Dynamic)
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Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic Parameters and Internals

LLM NameQwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic
Repository 🤗https://huggingface.co/DevQuasar/Qwen.Qwen3-Next-80B-A3B-Instruct-FP8-Dynamic 
Base Model(s)  Qwen3 Next 80B A3B Instruct   Qwen/Qwen3-Next-80B-A3B-Instruct
Model Size80b
Required VRAM80.5 GB
Updated2026-04-11
MaintainerDevQuasar
Model Typeqwen3_next
Instruction-BasedYes
Model Files  5.0 GB: 1-of-17   5.0 GB: 2-of-17   5.0 GB: 3-of-17   5.0 GB: 4-of-17   5.0 GB: 5-of-17   5.0 GB: 6-of-17   5.0 GB: 7-of-17   5.0 GB: 8-of-17   5.0 GB: 9-of-17   5.0 GB: 10-of-17   5.0 GB: 11-of-17   5.0 GB: 12-of-17   5.0 GB: 13-of-17   5.0 GB: 14-of-17   5.0 GB: 15-of-17   4.9 GB: 16-of-17   0.6 GB: 17-of-17
Model ArchitectureQwen3NextForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than DevQuasar/Qwen.Qwen3-Next-80B-A3B-Instruct-FP8-Dynamic.

Rank the Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic 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  
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