Qwen2.5 0.5B Instruct Pruned Distill Inshort by nis12ram

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  Autotrain compatible Base model:finetune:nis12ram/q... Base model:nis12ram/qwen2.5-0....   Conversational Dataset:shivam9980/inshorts-en...   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors

Qwen2.5 0.5B Instruct Pruned Distill Inshort Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 0.5B Instruct Pruned Distill Inshort (nis12ram/qwen2.5-0.5B-Instruct-pruned-distill-Inshort)
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Qwen2.5 0.5B Instruct Pruned Distill Inshort Parameters and Internals

LLM NameQwen2.5 0.5B Instruct Pruned Distill Inshort
Repository ๐Ÿค—https://huggingface.co/nis12ram/qwen2.5-0.5B-Instruct-pruned-distill-Inshort 
Base Model(s)  nis12ram/qwen2.5-0.5B-Instruct-pruned-Inshort   nis12ram/qwen2.5-0.5B-Instruct-pruned-Inshort
Model Size0.5b
Required VRAM0.6 GB
Updated2025-07-15
Maintainernis12ram
Model Typeqwen2
Instruction-BasedYes
Model Files  0.6 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nis12ram/qwen2.5-0.5B-Instruct-pruned-distill-Inshort.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124