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Llama 2 QLoRA by uf-aice-lab

 »  All LLMs  »  uf-aice-lab  »  Llama 2 QLoRA   URL Share it on

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  Autotrain compatible   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/uf-aice-lab/Llama-2-QLoRA 

Llama 2 QLoRA Benchmarks

LLME Score: 0.11096
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 QLoRA (uf-aice-lab/Llama-2-QLoRA)
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Llama 2 QLoRA Parameters and Internals

Model Type 
question-answering
Use Cases 
Areas:
Research, Commercial applications
Applications:
K-12 math learning
Primary Use Cases:
Classification related to K-12 math learning
Supported Languages 
en (high)
Training Details 
Data Sources:
Algebra Nation
Data Volume:
3,000,000 groups of conversations
Methodology:
Fine-tuned
Hardware Used:
8 Nvidia A100-80G GPUs
Model Architecture:
32 layers
Input Output 
Input Format:
Text prompt
Accepted Modalities:
text
Output Format:
Text response
LLM NameLlama 2 QLoRA
Repository 🤗https://huggingface.co/uf-aice-lab/Llama-2-QLoRA 
Required VRAM27 GB
Updated2025-08-21
Maintaineruf-aice-lab
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
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 Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than uf-aice-lab/Llama-2-QLoRA.

Rank the Llama 2 QLoRA Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241124
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