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Llama 3 LimaRP Instruct 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:mpasila/limarp-augment...   En   Ext 8k   Instruct   Llama   Lora   Not-for-all-audiences   Peft   Quantized   Region:us   Safetensors   Trl   Unsloth

Llama 3 LimaRP Instruct LoRA 8B Benchmarks

LLME Score: 0.21594
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 LimaRP Instruct LoRA 8B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (unknown)
Training Details 
Data Sources:
grimulkan/LimaRP-augmented, mpasila/LimaRP-augmented-8k-context
Context Length:
8000
LLM NameLlama 3 LimaRP Instruct LoRA 8B
Repository 🤗https://huggingface.co/Azazelle/Llama-3-LimaRP-Instruct-LoRA-8B 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM2.7 GB
Updated2024-11-21
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|k_proj|down_proj|v_proj|gate_proj|o_proj|q_proj
LoRA Alpha512
LoRA Dropout0
R Param256
Llama 3 LimaRP Instruct LoRA 8B (Azazelle/Llama-3-LimaRP-Instruct-LoRA-8B)

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

Rank the Llama 3 LimaRP Instruct 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 v20241110
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