Unsloth Qwen3 Next 80B A3B Instruct Qx86 Hi Mlx by nightmedia

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Unsloth Qwen3 Next 80B A3B Instruct Qx86 Hi Mlx Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Unsloth Qwen3 Next 80B A3B Instruct Qx86 Hi Mlx (nightmedia/unsloth-Qwen3-Next-80B-A3B-Instruct-qx86-hi-mlx)
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Unsloth Qwen3 Next 80B A3B Instruct Qx86 Hi Mlx Parameters and Internals

LLM NameUnsloth Qwen3 Next 80B A3B Instruct Qx86 Hi Mlx
Repository ๐Ÿค—https://huggingface.co/nightmedia/unsloth-Qwen3-Next-80B-A3B-Instruct-qx86-hi-mlx 
Base Model(s)  Qwen3 Next 80B A3B Instruct   unsloth/Qwen3-Next-80B-A3B-Instruct
Model Size80b
Required VRAM73.5 GB
Updated2025-09-21
Maintainernightmedia
Model Typeqwen3_next
Instruction-BasedYes
Model Files  5.3 GB: 1-of-15   5.2 GB: 2-of-15   5.4 GB: 3-of-15   5.0 GB: 4-of-15   5.4 GB: 5-of-15   5.0 GB: 6-of-15   4.9 GB: 7-of-15   5.1 GB: 8-of-15   5.4 GB: 9-of-15   5.0 GB: 10-of-15   5.4 GB: 11-of-15   5.0 GB: 12-of-15   5.2 GB: 13-of-15   5.2 GB: 14-of-15   1.0 GB: 15-of-15
Model ArchitectureQwen3NextForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Errorsreplace

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Qwen3 Next 80B A3B Instruct256K / 162.7 GB644117694
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Note: green Score (e.g. "73.2") means that the model is better than nightmedia/unsloth-Qwen3-Next-80B-A3B-Instruct-qx86-hi-mlx.

Rank the Unsloth Qwen3 Next 80B A3B Instruct Qx86 Hi Mlx Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124