Llama2 22B by chargoddard

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  Autotrain compatible Dataset:togethercomputer/redpa...   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/chargoddard/llama2-22b 

Llama2 22B Benchmarks

Llama2 22B (chargoddard/llama2-22b)

Llama2 22B Parameters and Internals

Model Type 
text-generation
Use Cases 
Considerations:
Not intended for use as-is; meant for further tuning for enhanced learning capacity
Training Details 
Data Sources:
togethercomputer/RedPajama-Data-1T-Sample
Data Volume:
~10M tokens
Methodology:
Transplantation of attention heads from Llama 33b, with fine-tuning
Model Architecture:
Enhanced Llama 13b model with additional attention heads from Llama 33b
LLM NameLlama2 22B
Repository ๐Ÿค—https://huggingface.co/chargoddard/llama2-22b 
Model Size22b
Required VRAM43.7 GB
Updated2025-02-16
Maintainerchargoddard
Model Typellama
Model Files  9.8 GB: 1-of-5   10.0 GB: 2-of-5   9.9 GB: 3-of-5   9.9 GB: 4-of-5   4.1 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Context Length4098
Model Max Length4098
Transformers Version4.32.0.dev0
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 chargoddard/llama2-22b.

Rank the Llama2 22B 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