Qwen3.5 122B A10B Vision MLX Mixed 4bit by andrzejmontano

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Qwen3.5 122B A10B Vision MLX Mixed 4bit is an open-source language model by andrzejmontano. Features: 122b LLM, VRAM: 4.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

  4bit Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-122b-a...   Conversational   Image-text-to-text   Mlx   Quantized   Qwen   Qwen3 5 moe   Region:us   Vision

Qwen3.5 122B A10B Vision MLX Mixed 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3.5 122B A10B Vision MLX Mixed 4bit Parameters and Internals

LLM NameQwen3.5 122B A10B Vision MLX Mixed 4bit
Repository 🤗https://huggingface.co/andrzejmontano/Qwen3.5-122B-A10B-Vision-MLX-Mixed-4bit 
Base Model(s)  Qwen/Qwen3.5-122B-A10B   Qwen/Qwen3.5-122B-A10B
Model Size122b
Required VRAM4.7 GB
Updated2026-05-28
Maintainerandrzejmontano
Model Typeqwen3_5_moe
Model Files  5.5 GB   5.7 GB   5.7 GB   5.5 GB   5.7 GB   5.7 GB   5.5 GB   5.7 GB   5.7 GB   5.5 GB   5.7 GB   5.7 GB   5.5 GB   4.7 GB
Quantization Type4bit
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than andrzejmontano/Qwen3.5-122B-A10B-Vision-MLX-Mixed-4bit.

Rank the Qwen3.5 122B A10B Vision MLX Mixed 4bit 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  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a