LWM Text 128K by LargeWorldModel

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  Autotrain compatible   Llama   Pytorch   Region:us   Sharded

LWM Text 128K 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 128K (LargeWorldModel/LWM-Text-128K)

LWM Text 128K Parameters and Internals

Model Type 
Auto-regressive, Transformer
Training Details 
Data Sources:
92K subset of Books3 filtered data
Data Volume:
100K to 200K tokens (per document)
Model Architecture:
Transformer
LLM NameLWM Text 128K
Repository ๐Ÿค—https://huggingface.co/LargeWorldModel/LWM-Text-128K 
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 Length131072
Model Max Length131072
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-128K.

Rank the LWM Text 128K 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