FDA Guidance Zephyr 7B Beta PEFT by yitzshapiro

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FDA Guidance Zephyr 7B Beta PEFT Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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FDA Guidance Zephyr 7B Beta PEFT Parameters and Internals

Model Type 
text-generation, autotrain, peft
Additional Notes 
This model has been specifically fine-tuned with a synthetic dataset focusing on over 700 pharma-related FDA guidances to understand regulations and policies better.
Training Details 
Methodology:
PEFT adapter model trained on a synthetic dataset derived from over 700 pharma-related FDA guidances.
LLM NameFDA Guidance Zephyr 7B Beta PEFT
Repository ๐Ÿค—https://huggingface.co/yitzshapiro/FDA-guidance-zephyr-7b-beta-PEFT 
Model Size7b
Required VRAM0.2 GB
Updated2025-06-09
Maintaineryitzshapiro
Model Files  0.2 GB   0.0 GB
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length2048
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|gate_proj|down_proj|o_proj|up_proj|k_proj|q_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
FDA Guidance Zephyr 7B Beta PEFT (yitzshapiro/FDA-guidance-zephyr-7b-beta-PEFT)

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Note: green Score (e.g. "73.2") means that the model is better than yitzshapiro/FDA-guidance-zephyr-7b-beta-PEFT.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124