Orca 2 13B Pygmalion LoRA by ricecake

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  4-bit   Autotrain compatible Base model:microsoft/orca-2-13... Base model:quantized:microsoft...   Bitsandbytes   Dataset:pygmalionai/pippa   En   Endpoints compatible   Generated from trainer   Llama   Lora   Region:us

Orca 2 13B Pygmalion LoRA Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca 2 13B Pygmalion LoRA (ricecake/Orca-2-13B-Pygmalion-LoRA)

Orca 2 13B Pygmalion LoRA Parameters and Internals

Model Type 
LoRA adapter
Additional Notes 
This model's response was initially too short, prompting re-training.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
PygmalionAI/PIPPA dataset
Methodology:
Fine-tuning using LoRA
LLM NameOrca 2 13B Pygmalion LoRA
Repository ๐Ÿค—https://huggingface.co/ricecake/Orca-2-13B-Pygmalion-LoRA 
Base Model(s)  Orca 2 13B   microsoft/Orca-2-13b
Model Size13b
Required VRAM0.5 GB
Updated2025-02-22
Maintainerricecake
Model Files  0.5 GB
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseother
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|up_proj|down_proj|v_proj|o_proj|q_proj|gate_proj
LoRA Alpha16
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than ricecake/Orca-2-13B-Pygmalion-LoRA.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227