Llama38binstruct Summarize by dwb2023

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Llama38binstruct Summarize Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama38binstruct Summarize (dwb2023/llama38binstruct_summarize)

Llama38binstruct Summarize Parameters and Internals

Training Details 
Data Sources:
generator
LLM NameLlama38binstruct Summarize
Repository ๐Ÿค—https://huggingface.co/dwb2023/llama38binstruct_summarize 
Base Model(s)  Meta Llama 3 8B Instruct   NousResearch/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM39.9 GB
Updated2025-02-16
Maintainerdwb2023
Instruction-BasedYes
Model Files  0.2 GB   5.0 GB: 1-of-2   4.9 GB: 1-of-7   2.8 GB: 2-of-2   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7   0.0 GB
Model ArchitectureAdapter
Licenseother
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|down_proj|q_proj|gate_proj|o_proj|v_proj|up_proj
LoRA Alpha32
LoRA Dropout0.1
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than dwb2023/llama38binstruct_summarize.

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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