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Openhermes Danube Sft Qlora by Ritvik19

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  Adapter   Alignment-handbook Base model:adapter:h2oai/h2o-d... Base model:h2oai/h2o-danube-1.... Dataset:ritvik19/open-hermes-2...   Finetuned   Generated from trainer   Lora   Mistral   Peft   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Ritvik19/openhermes-danube-sft-qlora 

Openhermes Danube Sft Qlora Benchmarks

ARC: 37.37 vs 96.7 (so35)-61.4%
HellaSwag: 69.45 vs 95.3 (gpt4)-27.1%
MMLU: 25.08 vs 88.3 (so35)-71.6%
TruthfulQA: 35.28 vs 59 (gpt4)-40.2%
WinoGrande: 65.35 vs 87.5 (gpt4)-25.3%
LLME Score: 0.22672
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openhermes Danube Sft Qlora (Ritvik19/openhermes-danube-sft-qlora)

Openhermes Danube Sft Qlora Parameters and Internals

Additional Notes 
Note: This model card has been generated automatically according to the information the Trainer had access to.
Training Details 
Data Sources:
Ritvik19/open-hermes-2_5-reformatted
LLM NameOpenhermes Danube Sft Qlora
Repository 🤗https://huggingface.co/Ritvik19/openhermes-danube-sft-qlora 
Base Model(s)  h2oai/h2o-danube-1.8b-base   h2oai/h2o-danube-1.8b-base
Model Size1.8b
Required VRAM0 GB
Updated2025-02-05
MaintainerRitvik19
Model Files  0.0 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length2048
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|v_proj|q_proj|k_proj|o_proj|down_proj|up_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16

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Instruction Following and Task Automation  
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Release v20241227
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