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LLaMA 7B PoSE Linear 96K by dwzhu

 »  All LLMs  »  dwzhu  »  LLaMA 7B PoSE Linear 96K   URL Share it on

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  Arxiv:2309.10400   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

LLaMA 7B PoSE Linear 96K Benchmarks

LLME Score: 0.14926
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

LLaMA 7B PoSE Linear 96K Parameters and Internals

Model Type 
text generation
Additional Notes 
This work is built upon LLaMA, GPT-J, and Baichuan as the pre-trained models.
LLM NameLLaMA 7B PoSE Linear 96K
Repository 🤗https://huggingface.co/dwzhu/LLaMA-7B-PoSE-Linear-96k 
Model Size7b
Required VRAM27 GB
Updated2024-11-19
Maintainerdwzhu
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length98304
Model Max Length98304
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16
LLaMA 7B PoSE Linear 96K (dwzhu/LLaMA-7B-PoSE-Linear-96k)

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Note: green Score (e.g. "73.2") means that the model is better than dwzhu/LLaMA-7B-PoSE-Linear-96k.

Rank the LLaMA 7B PoSE Linear 96K 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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Release v20241110
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