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Leyley 13B Lora by Undi95

 »  All LLMs  »  Undi95  »  Leyley 13B Lora   URL Share it on

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  8-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Generated from trainer   Llama   Lora   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Undi95/Leyley-13B-Lora 

Leyley 13B Lora Benchmarks

LLME Score: 0.12353
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Leyley 13B Lora (Undi95/Leyley-13B-Lora)
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Leyley 13B Lora Parameters and Internals

Model Type 
LoRA
Training Details 
Data Sources:
https://github.com/Undi95/somethingdata
Methodology:
The model was trained from scratch using a custom dataset. It is a LoRA model trained on Noromaid from scratch.
Model Architecture:
LoRA
Input Output 
Input Format:
Prompt format includes instruction and input template for speaking as the model character Ashley Graves.
Output Format:
Model outputs responses as Ashley Graves in conversation form.
Performance Tips:
Recommended settings must be tweaked for optimal performance. Deactivate specific settings as instructed in the provided images.
LLM NameLeyley 13B Lora
Repository 🤗https://huggingface.co/Undi95/Leyley-13B-Lora 
Model Size13b
Required VRAM4 GB
Updated2025-09-10
MaintainerUndi95
Model Files  4.0 GB
Model ArchitectureAutoModelForCausalLM
Model Max Length2048
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|down_proj|q_proj|o_proj|gate_proj|k_proj|v_proj
LoRA Alpha512
LoRA Dropout0.05
R Param256

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Llama 2 13B Chat Hf GPT 4 80K0K / 26 GB60
Llava Chart 13b Lora0K / 0.1 GB32
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Orca 2 13B Pygmalion LoRA0K / 0.5 GB32
Note: green Score (e.g. "73.2") means that the model is better than Undi95/Leyley-13B-Lora.

Rank the Leyley 13B Lora 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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