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Lora Pretrain V3 by zJuu

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama-factory   Lora   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Lora Pretrain V3 Benchmarks

LLME Score: 0.22052
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Lora Pretrain V3 Parameters and Internals

LLM NameLora Pretrain V3
Repository 🤗https://huggingface.co/zJuu/lora-pretrain-v3 
Model Size7b
Required VRAM15.5 GB
Updated2024-09-06
MaintainerzJuu
Model Typeqwen2
Instruction-BasedYes
Model Files  1.9 GB: 1-of-9   1.9 GB: 2-of-9   1.9 GB: 3-of-9   1.9 GB: 4-of-9   1.9 GB: 5-of-9   1.9 GB: 6-of-9   1.9 GB: 7-of-9   1.1 GB: 8-of-9   1.1 GB: 9-of-9
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace
Lora Pretrain V3 (zJuu/lora-pretrain-v3)

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Note: green Score (e.g. "73.2") means that the model is better than zJuu/lora-pretrain-v3.

Rank the Lora Pretrain V3 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 v2024072803
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