Gemini Distill Qwen2.5 0.5B Ead by Geraldine

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Gemini Distill Qwen2.5 0.5B Ead is an open-source language model by Geraldine. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.18.

  Ara   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational Dataset:geraldine/ead-instruct...   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Spa   Tha   Vie   Zho

Gemini Distill Qwen2.5 0.5B Ead Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemini Distill Qwen2.5 0.5B Ead (Geraldine/Gemini-Distill-Qwen2.5-0.5B-ead)
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Gemini Distill Qwen2.5 0.5B Ead Parameters and Internals

LLM NameGemini Distill Qwen2.5 0.5B Ead
Repository ๐Ÿค—https://huggingface.co/Geraldine/Gemini-Distill-Qwen2.5-0.5B-ead 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2025-09-18
MaintainerGeraldine
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Geraldine/Gemini-Distill-Qwen2.5-0.5B-ead.

Rank the Gemini Distill Qwen2.5 0.5B Ead 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