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Data Efficient Training Of LLMs V1 by ChiyuSONG

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Data Efficient Training Of LLMs V1 is an open-source language model by ChiyuSONG. Features: 13b LLM, VRAM: 29.1GB, License: mit, Instruction-Based, LLM Explorer Score: 0.1.

  Arxiv:2310.19651   Autotrain compatible   Baichuan   Custom code Dataset:chiyusong/dynamics-of-...   Endpoints compatible   Instruct   Pytorch   Region:us   Zh
Model Card on HF 🤗: https://huggingface.co/ChiyuSONG/data-efficient-training-of-LLMs-v1 

Data Efficient Training Of LLMs V1 Benchmarks

LLME Score: 0.10233
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Data Efficient Training Of LLMs V1 (ChiyuSONG/data-efficient-training-of-LLMs-v1)
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Data Efficient Training Of LLMs V1 Parameters and Internals

Model Type 
instruction tuning, large language model
Additional Notes 
The project explores efficient data usage for training large language models, focusing on the dynamics of instruction tuning to improve diverse capabilities.
Supported Languages 
zh (Proficient)
Training Details 
Data Sources:
ChiyuSONG/dynamics-of-instruction-tuning
Methodology:
Utilizes a progressive instruction tuning approach to enhance model abilities based on different factor influences.
Release Notes 
Version:
1
Notes:
Focus on instruction fine-tuning process, utilizing multiple capabilities categories such as creative writing, code generation, logical reasoning.
LLM NameData Efficient Training Of LLMs V1
Repository 🤗https://huggingface.co/ChiyuSONG/data-efficient-training-of-LLMs-v1 
Model Size13b
Required VRAM29.1 GB
Updated2025-03-03
MaintainerChiyuSONG
Model Typebaichuan
Instruction-BasedYes
Model Files  29.1 GB
Supported Languageszh
Model ArchitectureBaichuanForCausalLM
Licensemit
Model Max Length4096
Transformers Version4.30.2
Tokenizer ClassBaichuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size125696
Torch Data Typebfloat16

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Rank the Data Efficient Training Of LLMs V1 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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