MLX Qwopus3.5 27B V3 6bit by Jackrong

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MLX Qwopus3.5 27B V3 6bit is an open-source language model by Jackrong. Features: 27b LLM, VRAM: 21.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.

  6-bit   6bit Base model:adapter:jackrong/qw... Base model:jackrong/qwopus3.5-...   Chain-of-thought   Competitive-programming   Conversational   En   Ko   Lora   Mlx   Quantized   Qwen   Qwen3.5   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Unsloth   Zh

MLX Qwopus3.5 27B V3 6bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MLX Qwopus3.5 27B V3 6bit (Jackrong/MLX-Qwopus3.5-27B-v3-6bit)
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MLX Qwopus3.5 27B V3 6bit Parameters and Internals

LLM NameMLX Qwopus3.5 27B V3 6bit
Repository ๐Ÿค—https://huggingface.co/Jackrong/MLX-Qwopus3.5-27B-v3-6bit 
Model Nameunsloth/Qwen3.5-27B
Base Model(s)  Jackrong/Qwopus3.5-27B-v3   Jackrong/Qwopus3.5-27B-v3
Model Size27b
Required VRAM21.8 GB
Updated2026-04-04
MaintainerJackrong
Model Typeqwen3_5
Model Files  5.4 GB: 1-of-5   5.3 GB: 2-of-5   5.3 GB: 3-of-5   4.8 GB: 4-of-5   1.0 GB: 5-of-5
Supported Languagesen zh ko
Quantization Type6bit
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Jackrong/MLX-Qwopus3.5-27B-v3-6bit.

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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