Llama2 13B Qlora Openassistant by AdapterHub

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  Arxiv:2305.14314   Adapter   Adapter-transformers Dataset:timdettmers/openassist...   Finetuned   Llama   Llama2   Lora   Region:us

Llama2 13B Qlora Openassistant Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 13B Qlora Openassistant (AdapterHub/llama2-13b-qlora-openassistant)
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Llama2 13B Qlora Openassistant Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
https://huggingface.co/datasets/timdettmers/openassistant-guanaco
Methodology:
LoRA (Low-Rank Adaptation)
Context Length:
512
Model Architecture:
LoRA modules added in output, intermediate and all (Q, K, V) self-attention linear layers. QLoRA configuration: r=64, alpha=16.
Input Output 
Input Format:
### Human: {text} ### Assistant:
Accepted Modalities:
text
Output Format:
Standard text output generated by the model
LLM NameLlama2 13B Qlora Openassistant
Repository ๐Ÿค—https://huggingface.co/AdapterHub/llama2-13b-qlora-openassistant 
Model Namemeta-llama/Llama-2-13b-hf
Model Size13b
Required VRAM0.3 GB
Updated2025-08-22
MaintainerAdapterHub
Model Typellama
Model Files  0.7 GB   0.3 GB
Model ArchitectureAdapter
Licenseapache-2.0
LoRA ModelYes
LoRA Alpha0
LoRA Dropout0
R Param0

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Note: green Score (e.g. "73.2") means that the model is better than AdapterHub/llama2-13b-qlora-openassistant.

Rank the Llama2 13B Qlora Openassistant 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 v20241124