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Qwen3.6 35B A3B MLX VQ 2.6bpw by aquaman164

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Qwen3.6 35B A3B MLX VQ 2.6bpw is an open-source language model by aquaman164. Features: 35b LLM, VRAM: 11.5GB, License: apache-2.0, LLM Explorer Score: 0.35.

  4-bit   Aqlm Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3...   Codebook   Conversational   Custom-code   Mixed-bit   Mlx   Moe   Quantized   Qwen3 5 moe   Region:us   Safetensors   Sharded   Tensorflow   Vq
Model Card on HF 🤗: https://huggingface.co/aquaman164/Qwen3.6-35B-A3B-MLX-VQ-2.6bpw 

Qwen3.6 35B A3B MLX VQ 2.6bpw Benchmarks

LLME Score: 0.34583
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 35B A3B MLX VQ 2.6bpw (aquaman164/Qwen3.6-35B-A3B-MLX-VQ-2.6bpw)
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Qwen3.6 35B A3B MLX VQ 2.6bpw Parameters and Internals

LLM NameQwen3.6 35B A3B MLX VQ 2.6bpw
Repository 🤗https://huggingface.co/aquaman164/Qwen3.6-35B-A3B-MLX-VQ-2.6bpw 
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size35b
Required VRAM11.5 GB
Updated2026-07-13
Maintaineraquaman164
Model Typeqwen3_5_moe
Model Files  5.3 GB: 1-of-3   5.4 GB: 2-of-3   0.8 GB: 3-of-3   0.0 GB
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than aquaman164/Qwen3.6-35B-A3B-MLX-VQ-2.6bpw.

Rank the Qwen3.6 35B A3B MLX VQ 2.6bpw 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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Multi-Language Support and Translation  

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