Josiefied Qwen2.5 0.5B Instruct Abliterated V1 Float32 by mlx-community

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Josiefied Qwen2.5 0.5B Instruct Abliterated V1 Float32 is an open-source language model by mlx-community. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:goekdeniz-... Base model:goekdeniz-guelmez/j...   Chat   Conversational   De   En   Instruct   Mlx   Qwen2   Region:us   Safetensors

Josiefied Qwen2.5 0.5B Instruct Abliterated V1 Float32 Benchmarks

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

Josiefied Qwen2.5 0.5B Instruct Abliterated V1 Float32 Parameters and Internals

LLM NameJosiefied Qwen2.5 0.5B Instruct Abliterated V1 Float32
Repository 🤗https://huggingface.co/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32 
Base Model(s)  Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1   Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1
Model Size0.5b
Required VRAM2 GB
Updated2026-04-12
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Supported Languagesen de
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Release v20260328a