Kurtis Qwen2.5 0.5B Instruct DPO by ethicalabs

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Kurtis Qwen2.5 0.5B Instruct DPO is an open-source language model by ethicalabs. Features: 0.5b LLM, VRAM: 1.7GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.17.

Base model:ethicalabs/kurtis-q... Base model:finetune:ethicalabs...   Conversational Dataset:mrs83/kurtis mental he...   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors

Kurtis Qwen2.5 0.5B Instruct DPO Benchmarks

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

Kurtis Qwen2.5 0.5B Instruct DPO Parameters and Internals

LLM NameKurtis Qwen2.5 0.5B Instruct DPO
Repository 🤗https://huggingface.co/ethicalabs/Kurtis-Qwen2.5-0.5B-Instruct-DPO 
Base Model(s)  ethicalabs/Kurtis-Qwen2.5-0.5B-Instruct   ethicalabs/Kurtis-Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1.7 GB
Updated2026-06-06
Maintainerethicalabs
Model Typeqwen2
Instruction-BasedYes
Model Files  1.7 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Qwen2 0.5B Abyme Merge3128K / 1.3 GB51
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Qwen2.5 0.5B Instruct32K / 1 GB6089483505
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...5 0.5B Instruct Abliterated Ru32K / 2 GB4320
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DAC5.4 0.5B32K / 1 GB350
Note: green Score (e.g. "73.2") means that the model is better than ethicalabs/Kurtis-Qwen2.5-0.5B-Instruct-DPO.

Rank the Kurtis Qwen2.5 0.5B Instruct DPO 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