Llama 2 LoRA Weights by mosama

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Llama 2 LoRA Weights Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 LoRA Weights (mosama/Llama-2-LoRA-Weights)
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Llama 2 LoRA Weights Parameters and Internals

Training Details 
Methodology:
The model was trained using `bitsandbytes` quantization with specific configurations, notably: load in 4bit, with an nf4 quant type, and double quant enabled.
LLM NameLlama 2 LoRA Weights
Repository ๐Ÿค—https://huggingface.co/mosama/Llama-2-LoRA-Weights 
Required VRAM0.3 GB
Updated2025-08-20
Maintainermosama
Model Files  0.3 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|k_proj|o_proj|gate_proj|q_proj|v_proj|down_proj
LoRA Alpha32
LoRA Dropout0.1
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than mosama/Llama-2-LoRA-Weights.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124