Qwen2 0.5B Tldr Sft by aklein4

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Qwen2 0.5B Tldr Sft is an open-source language model by aklein4. Features: 0.5b LLM, VRAM: 2GB, Context: 128K, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Qwen2   Region:us   Safetensors

Qwen2 0.5B Tldr Sft Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 0.5B Tldr Sft (aklein4/Qwen2-0.5B-tldr-sft)
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Qwen2 0.5B Tldr Sft Parameters and Internals

LLM NameQwen2 0.5B Tldr Sft
Repository ๐Ÿค—https://huggingface.co/aklein4/Qwen2-0.5B-tldr-sft 
Model Size0.5b
Required VRAM2 GB
Updated2025-09-23
Maintaineraklein4
Model Typeqwen2
Model Files  2.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Vocabulary Size151936
Torch Data Typefloat32

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Qwen2 0.5B Stf Imdb128K / 1 GB60
ECE PRYMMAL 0.5B FT V3 MUSR128K / 2 GB50
...44 45ee 44f3 934d Ddc8b6e082f1128K / 1 GB80
...wen199f16 Merged FinetunedByAG128K / 1 GB60
Note: green Score (e.g. "73.2") means that the model is better than aklein4/Qwen2-0.5B-tldr-sft.

Rank the Qwen2 0.5B Tldr Sft 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