LongAlign 6B 64K Base by THUDM

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  Arxiv:2401.18058   Chatglm   Custom code   En   Feature-extraction   Long context   Pytorch   Region:us   Sharded   Zh

LongAlign 6B 64K Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LongAlign 6B 64K Base (THUDM/LongAlign-6B-64k-base)

LongAlign 6B 64K Base Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text generation
Applications:
chatbot applications
Primary Use Cases:
long context alignment, instruction-following capability
Additional Notes 
LongAlign offers a unique alignment recipe for LLMs with emphasis on long context understanding.
Supported Languages 
en (full), zh (full)
Training Details 
Data Sources:
LongAlign-10k dataset
Data Volume:
10,000 long instruction data of 8k-64k in length
Methodology:
packing (with loss weighting) and sorted batching
Context Length:
64000
Input Output 
Input Format:
[Round n] ้—ฎ๏ผš{question} ็ญ”๏ผš{answer}
Accepted Modalities:
text
Output Format:
Generated text response
LLM NameLongAlign 6B 64K Base
Repository ๐Ÿค—https://huggingface.co/THUDM/LongAlign-6B-64k-base 
Model Size6b
Required VRAM12.3 GB
Updated2025-02-22
MaintainerTHUDM
Model Typechatglm
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Supported Languagesen zh
Model ArchitectureChatGLMForConditionalGeneration
Licenseapache-2.0
Transformers Version4.33.0
Tokenizer ClassChatGLMTokenizer
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than THUDM/LongAlign-6B-64k-base.

Rank the LongAlign 6B 64K 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