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Zephyr Danube2 Sft Qlora by Ritvik19

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  Adapter   Alignment-handbook Base model:adapter:h2oai/h2o-d... Base model:h2oai/h2o-danube2-1... Dataset:huggingfaceh4/ultracha...   Finetuned   Generated from trainer   Lora   Mistral   Peft   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Ritvik19/zephyr-danube2-sft-qlora 

Zephyr Danube2 Sft Qlora Benchmarks

ARC: 42.49 vs 96.7 (so35)-56.1%
HellaSwag: 72.93 vs 95.3 (gpt4)-23.5%
MMLU: 40.19 vs 88.3 (so35)-54.5%
TruthfulQA: 37.89 vs 59 (gpt4)-35.8%
WinoGrande: 67.56 vs 87.5 (gpt4)-22.8%
GSM8K: 28.58 vs 96.4 (so35)-70.4%
LLME Score: 0.18487
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Danube2 Sft Qlora (Ritvik19/zephyr-danube2-sft-qlora)
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Zephyr Danube2 Sft Qlora Parameters and Internals

Additional Notes 
Model card generated automatically.
Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k
LLM NameZephyr Danube2 Sft Qlora
Repository 🤗https://huggingface.co/Ritvik19/zephyr-danube2-sft-qlora 
Base Model(s)  h2oai/h2o-danube2-1.8b-base   h2oai/h2o-danube2-1.8b-base
Model Size1.8b
Required VRAM0 GB
Updated2025-09-23
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 Modulesv_proj|o_proj|gate_proj|q_proj|k_proj|down_proj|up_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Ritvik19/zephyr-danube2-sft-qlora.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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