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Qwen1.5 0.5B Chat Llamafy by Minami-su

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Qwen1.5 0.5B Chat Llamafy is an open-source language model by Minami-su. Features: 0.5b LLM, VRAM: 1.2GB, Context: 4K, License: other, LLM Explorer Score: 0.17, Arc: 30.6, HellaSwag: 44.1, MMLU: 33.8, GSM8K: 7.4.

  Conversational   En   Llama   Pytorch   Qwen   Qwen1.5   Qwen2   Region:us   Zh
Model Card on HF 🤗: https://huggingface.co/Minami-su/Qwen1.5-0.5B-Chat_llamafy 

Qwen1.5 0.5B Chat Llamafy Benchmarks

ARC: 30.63 vs 96.7 (so35)-68.3%
HellaSwag: 44.11 vs 95.3 (gpt4)-53.7%
MMLU: 33.82 vs 88.3 (so35)-61.7%
GSM8K: 7.43 vs 96.4 (so35)-92.3%
LLME Score: 0.16814
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 0.5B Chat Llamafy (Minami-su/Qwen1.5-0.5B-Chat_llamafy)
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Qwen1.5 0.5B Chat Llamafy Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is a modified version of Qwen1.5 adapted for LLaMA usage, compatible with Transformers library, utilizing a specific conversion script for enhanced capability.
Supported Languages 
primary (en), secondary (zh)
Input Output 
Accepted Modalities:
text
LLM NameQwen1.5 0.5B Chat Llamafy
Repository 🤗https://huggingface.co/Minami-su/Qwen1.5-0.5B-Chat_llamafy 
Model Size0.5b
Required VRAM1.2 GB
Updated2026-05-31
MaintainerMinami-su
Model Typellama
Model Files  1.2 GB
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Minami-su/Qwen1.5-0.5B-Chat_llamafy.

Rank the Qwen1.5 0.5B Chat Llamafy 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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