Colossal LLaMA 2 13B Base by hpcai-tech

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  Arxiv:2110.14883   Arxiv:2307.09288   Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Zh

Colossal LLaMA 2 13B Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Colossal LLaMA 2 13B Base (hpcai-tech/Colossal-LLaMA-2-13b-base)

Colossal LLaMA 2 13B Base Parameters and Internals

Model Type 
text generation, multimodal
Additional Notes 
Capable of supporting both Chinese and English languages.
Supported Languages 
zh (Chinese), en (English)
Training Details 
Methodology:
Multi-stage training with Chinese knowledge injection and knowledge replay.
Context Length:
4096
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameColossal LLaMA 2 13B Base
Repository ๐Ÿค—https://huggingface.co/hpcai-tech/Colossal-LLaMA-2-13b-base 
Model Size13b
Required VRAM0.6 GB
Updated2025-02-22
Maintainerhpcai-tech
Model Typellama
Model Files  1.1 GB   1.0 GB   1.0 GB   1.0 GB   1.1 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.1 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.1 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.1 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.1 GB   0.6 GB   0.7 GB
Supported Languageszh en
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size69104
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than hpcai-tech/Colossal-LLaMA-2-13b-base.

Rank the Colossal LLaMA 2 13B Base 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