Qwen3.6 27B OBLITERATED MLX 4bit by mlx-community

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Qwen3.6 27B OBLITERATED MLX 4bit is an open-source language model by mlx-community. Features: 27b LLM, VRAM: 15.1GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

  4-bit   4bit Base model:obliteratus/qwen3.6... Base model:quantized:obliterat...   Conversational   En   Mlx   Mlx-lm   Quantized   Qwen3   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow

Qwen3.6 27B OBLITERATED MLX 4bit Benchmarks

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

Qwen3.6 27B OBLITERATED MLX 4bit Parameters and Internals

LLM NameQwen3.6 27B OBLITERATED MLX 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen3.6-27B-OBLITERATED-MLX-4bit 
Base Model(s)  OBLITERATUS/Qwen3.6-27B-OBLITERATED   OBLITERATUS/Qwen3.6-27B-OBLITERATED
Model Size27b
Required VRAM15.1 GB
Updated2026-06-21
Maintainermlx-community
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-3   5.3 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.8.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Torch Data Typebfloat16
Errorsreplace

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Qwen3.6 27B OptiQ 4bit256K / 16.6 GB1186137
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Qwopus3.5 27B V3 FP8256K / 29.4 GB516
Qwen3.5 27B Abliterated256K / 53.8 GB160
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.6-27B-OBLITERATED-MLX-4bit.

Rank the Qwen3.6 27B OBLITERATED MLX 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