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Reyna CoT 4B V0.1 by aloobun

 »  All LLMs  »  aloobun  »  Reyna CoT 4B V0.1   URL Share it on

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  Autotrain compatible   Conversational   Cot   Custom code Dataset:kaist-ai/cot-collectio...   Endpoints compatible   Finetuned   Qwen2   Region:us   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/aloobun/Reyna-CoT-4B-v0.1 

Reyna CoT 4B V0.1 Benchmarks

ARC: 44.71 vs 96.7 (so35)-53.8%
HellaSwag: 71.12 vs 95.3 (gpt4)-25.4%
MMLU: 55.9 vs 88.3 (so35)-36.7%
TruthfulQA: 43.09 vs 59 (gpt4)-27%
WinoGrande: 67.72 vs 87.5 (gpt4)-22.6%
GSM8K: 16.91 vs 96.4 (so35)-82.5%
LLME Score: 0.18665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reyna CoT 4B V0.1 (aloobun/Reyna-CoT-4B-v0.1)

Reyna CoT 4B V0.1 Parameters and Internals

Model Type 
text generation, causal language model
Use Cases 
Areas:
Research, Chain of Thought tasks
Applications:
Reasoning, Closed Book Question Answering, Ethics
Considerations:
Improvement on CoT for smaller language models.
Additional Notes 
Experiment aimed to improve CoT capabilities.
Training Details 
Data Sources:
kaist-ai/CoT-Collection, euclaise/TinyCoT, teknium/OpenHermes-2.5
Methodology:
Finetuning on CoT tasks such as Reasoning, Closed Book QA, Ethics.
LLM NameReyna CoT 4B V0.1
Repository 🤗https://huggingface.co/aloobun/Reyna-CoT-4B-v0.1 
Model Size4b
Required VRAM7.9 GB
Updated2025-04-30
Maintaineraloobun
Model Typeqwen2
Model Files  3.0 GB: 1-of-3   3.0 GB: 2-of-3   1.9 GB: 3-of-3
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
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 aloobun/Reyna-CoT-4B-v0.1.

Rank the Reyna CoT 4B V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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