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Qwen3 Next 80B A3B Thinking AWQ 4bit by cpatonn

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Qwen3 Next 80B A3B Thinking AWQ 4bit is an open-source language model by cpatonn. Features: 80b LLM, VRAM: 47.5GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

  Arxiv:2309.00071   Arxiv:2501.15383   Arxiv:2505.09388   4bit   Autotrain compatible   Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3-next-80b...   Compressed-tensors   Conversational   Endpoints compatible   Quantized   Qwen3 next   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cpatonn/Qwen3-Next-80B-A3B-Thinking-AWQ-4bit 

Qwen3 Next 80B A3B Thinking AWQ 4bit Benchmarks

LLME Score: 0.29364
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Next 80B A3B Thinking AWQ 4bit (cpatonn/Qwen3-Next-80B-A3B-Thinking-AWQ-4bit)
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Qwen3 Next 80B A3B Thinking AWQ 4bit Parameters and Internals

LLM NameQwen3 Next 80B A3B Thinking AWQ 4bit
Repository 🤗https://huggingface.co/cpatonn/Qwen3-Next-80B-A3B-Thinking-AWQ-4bit 
Base Model(s)  Qwen3 Next 80B A3B Thinking   Qwen/Qwen3-Next-80B-A3B-Thinking
Model Size80b
Required VRAM47.5 GB
Updated2025-09-23
Maintainercpatonn
Model Typeqwen3_next
Model Files  5.0 GB: 1-of-10   5.0 GB: 2-of-10   5.0 GB: 3-of-10   5.0 GB: 4-of-10   5.0 GB: 5-of-10   5.0 GB: 6-of-10   5.0 GB: 7-of-10   5.0 GB: 8-of-10   5.0 GB: 9-of-10   2.5 GB: 10-of-10
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureQwen3NextForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

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...en3 Next 80B A3B Instruct 6bit256K / 64.2 GB384
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Note: green Score (e.g. "73.2") means that the model is better than cpatonn/Qwen3-Next-80B-A3B-Thinking-AWQ-4bit.

Rank the Qwen3 Next 80B A3B Thinking AWQ 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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