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Qwen3.5 9B Abliterated MLX 4bit by lukey03

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Qwen3.5 9B Abliterated MLX 4bit is an open-source language model by lukey03. Features: 9b LLM, VRAM: 5GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

  Arxiv:2406.11717   4-bit   4bit   Abliterated Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.5-9b   Conversational   En   Mlx   Quantized   Qwen   Qwen3.5   Qwen3 5 text   Region:us   Safetensors   Uncensored
Model Card on HF 🤗: https://huggingface.co/lukey03/Qwen3.5-9B-abliterated-MLX-4bit 

Qwen3.5 9B Abliterated MLX 4bit Benchmarks

LLME Score: 0.30079
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 9B Abliterated MLX 4bit (lukey03/Qwen3.5-9B-abliterated-MLX-4bit)
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Qwen3.5 9B Abliterated MLX 4bit Parameters and Internals

LLM NameQwen3.5 9B Abliterated MLX 4bit
Repository 🤗https://huggingface.co/lukey03/Qwen3.5-9B-abliterated-MLX-4bit 
Base Model(s)  Qwen/Qwen3.5-9B   Qwen/Qwen3.5-9B
Model Size9b
Required VRAM5 GB
Updated2026-04-16
Maintainerlukey03
Model Typeqwen3_5_text
Model Files  5.0 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.2.0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than lukey03/Qwen3.5-9B-abliterated-MLX-4bit.

Rank the Qwen3.5 9B Abliterated 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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