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Qwen3 Next 80B A3B Instruct Q2 Mlx by nightmedia

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Qwen3 Next 80B A3B Instruct Q2 Mlx is an open-source language model by nightmedia. Features: 80b LLM, VRAM: 24.9GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.26.

  2-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-next-80b...   Conversational   Instruct   Mlx   Q2   Quantized   Qwen3 next   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nightmedia/Qwen3-Next-80B-A3B-Instruct-q2-mlx 

Qwen3 Next 80B A3B Instruct Q2 Mlx Benchmarks

LLME Score: 0.25584
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 Instruct Q2 Mlx (nightmedia/Qwen3-Next-80B-A3B-Instruct-q2-mlx)
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Qwen3 Next 80B A3B Instruct Q2 Mlx Parameters and Internals

LLM NameQwen3 Next 80B A3B Instruct Q2 Mlx
Repository 🤗https://huggingface.co/nightmedia/Qwen3-Next-80B-A3B-Instruct-q2-mlx 
Base Model(s)  Qwen3 Next 80B A3B Instruct   Qwen/Qwen3-Next-80B-A3B-Instruct
Model Size80b
Required VRAM24.9 GB
Updated2025-09-23
Maintainernightmedia
Model Typeqwen3_next
Instruction-BasedYes
Model Files  5.3 GB: 1-of-5   5.3 GB: 2-of-5   5.3 GB: 3-of-5   5.3 GB: 4-of-5   3.7 GB: 5-of-5
Quantization Typeq2
Model ArchitectureQwen3NextForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nightmedia/Qwen3-Next-80B-A3B-Instruct-q2-mlx.

Rank the Qwen3 Next 80B A3B Instruct Q2 Mlx Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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