CoT Llama 2K 7B by kyujinpy

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  Autotrain compatible   Dataset:kyujinpy/kocot 2000   Endpoints compatible   Ko   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

CoT Llama 2K 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CoT Llama 2K 7B (kyujinpy/CoT-llama-2k-7b)

CoT Llama 2K 7B Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
KoCoT_2000, kaist-CoT
Hardware Used:
A100 GPU 40GB, COLAB
Model Architecture:
CoT-llama2 is an auto-regressive language model based on the LLaMA2 transformer architecture.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameCoT Llama 2K 7B
Repository ๐Ÿค—https://huggingface.co/kyujinpy/CoT-llama-2k-7b 
Model Size7b
Required VRAM13.7 GB
Updated2025-04-29
Maintainerkyujinpy
Model Typellama
Model Files  9.9 GB: 1-of-2   3.8 GB: 2-of-2   9.9 GB: 1-of-2   3.8 GB: 2-of-2
Supported Languagesko
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size46336
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than kyujinpy/CoT-llama-2k-7b.

Rank the CoT Llama 2K 7B 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 v20241227