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Llama3.1 CoT by xinchen9

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Model Card on HF 🤗: https://huggingface.co/xinchen9/Llama3.1_CoT 

Llama3.1 CoT Benchmarks

MMLU Pro: 19.32
GPQA: 5.15
MUSR: 11.77
BBH: 19.9
IFEval: 22.46 vs 88 (so35)-74.5%
MATH Lvl 5: 3.85
LLME Score: 0.23393
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.1 CoT (xinchen9/Llama3.1_CoT)

Llama3.1 CoT Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
kaist-ai/CoT-Collection
Methodology:
fine-tuning
LLM NameLlama3.1 CoT
Repository 🤗https://huggingface.co/xinchen9/Llama3.1_CoT 
Model Size8b
Required VRAM16.1 GB
Updated2025-04-15
Maintainerxinchen9
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than xinchen9/Llama3.1_CoT.

Rank the Llama3.1 CoT 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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