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Llama2 New York Times News 1987 1995 by ErikCikalleshi

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/ErikCikalleshi/llama2-new_york_times_news_1987_1995 

Llama2 New York Times News 1987 1995 Benchmarks

LLME Score: 0.17408
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 New York Times News 1987 1995 (ErikCikalleshi/llama2-new_york_times_news_1987_1995)

Llama2 New York Times News 1987 1995 Parameters and Internals

Model Type 
text processing
Training Details 
Data Sources:
New York Times articles (1987-1995)
Methodology:
Contrastive Decoding
LLM NameLlama2 New York Times News 1987 1995
Repository 🤗https://huggingface.co/ErikCikalleshi/llama2-new_york_times_news_1987_1995 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-16
MaintainerErikCikalleshi
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
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 ErikCikalleshi/llama2-new_york_times_news_1987_1995.

Rank the Llama2 New York Times News 1987 1995 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  
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