LWM Text 512K by LargeWorldModel

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  Autotrain compatible   Llama   Pytorch   Region:us   Sharded

LWM Text 512K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LWM Text 512K (LargeWorldModel/LWM-Text-512K)

LWM Text 512K Parameters and Internals

Model Type 
Auto-regressive language model, Transformer architecture
Training Details 
Data Sources:
Subset of Books3 filtered data
Data Volume:
3500 subset of Books3 documents with 500K to 1M tokens
Model Architecture:
Transformer
LLM NameLWM Text 512K
Repository ๐Ÿค—https://huggingface.co/LargeWorldModel/LWM-Text-512K 
Required VRAM13.5 GB
Updated2024-12-22
MaintainerLargeWorldModel
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length524288
Model Max Length524288
Transformers Version4.29.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LargeWorldModel/LWM-Text-512K.

Rank the LWM Text 512K 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 v20241217