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Llama 3 Instruct LiPPA LoRA 8B by Azazelle

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  4bit Base model:adapter:unsloth/lla... Base model:unsloth/llama-3-8b-... Dataset:grimulkan/limarp-augme... Dataset:karakarawitch/pippa-sh... Dataset:mpasila/limarp-pippa-m...   En   Ext 8k   Instruct   Llama   Lora   Not-for-all-audiences   Peft   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Azazelle/Llama-3-Instruct-LiPPA-LoRA-8B 

Llama 3 Instruct LiPPA LoRA 8B Benchmarks

LLME Score: 0.20719
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Instruct LiPPA LoRA 8B (Azazelle/Llama-3-Instruct-LiPPA-LoRA-8B)

Llama 3 Instruct LiPPA LoRA 8B Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Additional Notes 
This model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (full)
Training Details 
Data Sources:
mpasila/LimaRP-PIPPA-Mix-8K-Context, grimulkan/LimaRP-augmented, KaraKaraWitch/PIPPA-ShareGPT-formatted
Methodology:
LoRA trained in 4-bit with 8k context using Meta-Llama-3-8B-Instruct as the base model for 1 epoch.
Context Length:
8000
Model Architecture:
LoRA
Input Output 
Input Format:
Llama 3 Instruct Unsloth changed assistant to gpt and user to human.
LLM NameLlama 3 Instruct LiPPA LoRA 8B
Repository 🤗https://huggingface.co/Azazelle/Llama-3-Instruct-LiPPA-LoRA-8B 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM2.7 GB
Updated2024-12-12
MaintainerAzazelle
Instruction-BasedYes
Model Files  2.7 GB
Supported Languagesen
Context Length8k
Quantization Type4bit
Model ArchitectureAutoModel
Licensellama3
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|v_proj|o_proj|k_proj|gate_proj|down_proj|q_proj
LoRA Alpha512
LoRA Dropout0
R Param256

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Note: green Score (e.g. "73.2") means that the model is better than Azazelle/Llama-3-Instruct-LiPPA-LoRA-8B.

Rank the Llama 3 Instruct LiPPA LoRA 8B 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 v20241217
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