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Llama 3 8B Instruct SpringDragon V2 QLoRA by ToastyPigeon

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  Adapter Base model:adapter:nousresearc... Base model:nousresearch/meta-l...   Finetuned   Instruct   Lora   Peft   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ToastyPigeon/Llama-3-8B-Instruct-SpringDragon-V2-QLoRA 

Llama 3 8B Instruct SpringDragon V2 QLoRA Benchmarks

LLME Score: 0.15305
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct SpringDragon V2 QLoRA (ToastyPigeon/Llama-3-8B-Instruct-SpringDragon-V2-QLoRA)
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Llama 3 8B Instruct SpringDragon V2 QLoRA Parameters and Internals

Input Output 
Input Format:
Completion format with user input given using `>`
LLM NameLlama 3 8B Instruct SpringDragon V2 QLoRA
Repository 🤗https://huggingface.co/ToastyPigeon/Llama-3-8B-Instruct-SpringDragon-V2-QLoRA 
Base Model(s)  Meta Llama 3 8B Instruct   NousResearch/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM0.3 GB
Updated2025-09-23
MaintainerToastyPigeon
Instruction-BasedYes
Model Files  0.3 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj|gate_proj|down_proj|up_proj|k_proj|o_proj
LoRA Alpha64
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/Llama-3-8B-Instruct-SpringDragon-V2-QLoRA.

Rank the Llama 3 8B Instruct SpringDragon V2 QLoRA 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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