Reasoning 0.5B by KingNish

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational Dataset:kingnish/reasoning-bas...   En   Endpoints compatible   Instruct   Pytorch   Qwen2   Reasoning   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/KingNish/Reasoning-0.5b 

Reasoning 0.5B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reasoning 0.5B (KingNish/Reasoning-0.5b)

Reasoning 0.5B Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is a first iteration and was trained for testing purposes. It uses a reasoning-based approach without special tokens. It was trained with Unsoth library to achieve a 2x faster training.
Supported Languages 
en (full)
Training Details 
Data Sources:
KingNish/reasoning-base-20k
Data Volume:
10k rows
LLM NameReasoning 0.5B
Repository ๐Ÿค—https://huggingface.co/KingNish/Reasoning-0.5b 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2024-12-21
MaintainerKingNish
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB   1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
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 KingNish/Reasoning-0.5b.

Rank the Reasoning 0.5B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217