Zephyr 7B Vetdataset Finetuned by ahmed807762

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Zephyr 7B Vetdataset Finetuned Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B Vetdataset Finetuned (ahmed807762/zephyr-7b-vetdataset-finetuned)

Zephyr 7B Vetdataset Finetuned Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model was trained using AutoTrain, and is part of the autotrain, text-generation-inference, text-generation, and peft categories.
LLM NameZephyr 7B Vetdataset Finetuned
Repository ๐Ÿค—https://huggingface.co/ahmed807762/zephyr-7b-vetdataset-finetuned 
Model Size7b
Required VRAM14.4 GB
Updated2024-08-18
Maintainerahmed807762
Model Files  0.2 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureAutoModelForCausalLM
Licenseother
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|o_proj|v_proj|up_proj|q_proj|gate_proj|k_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than ahmed807762/zephyr-7b-vetdataset-finetuned.

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