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Vegetarian Mayo by nroggendorff

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  Autotrain compatible Base model:finetune:tinyllama/... Base model:tinyllama/tinyllama...   Conversational   Dataset:nroggendorff/mayo   En   Endpoints compatible   Llama   Region:us   Safetensors   Sft   Sgd   Trl
Model Card on HF 🤗: https://huggingface.co/nroggendorff/vegetarian-mayo 

Vegetarian Mayo Benchmarks

LLME Score: 0.19544
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vegetarian Mayo (nroggendorff/vegetarian-mayo)

Vegetarian Mayo Parameters and Internals

Model Type 
trl, sft, sgd
Additional Notes 
Mayo is a language model fine-tuned on the Mayo dataset using SFT and TRL techniques.
Supported Languages 
en (supported)
Training Details 
Data Sources:
nroggendorff/mayo
Methodology:
Supervised Fine-Tuning (SFT) and Teacher Reinforced Learning (TRL)
LLM NameVegetarian Mayo
Repository 🤗https://huggingface.co/nroggendorff/vegetarian-mayo 
Base Model(s)  TinyLlama/TinyLlama-1.1B-Chat-v1.0   TinyLlama/TinyLlama-1.1B-Chat-v1.0
Model Size1.1b
Required VRAM4.4 GB
Updated2025-02-05
Maintainernroggendorff
Model Typellama
Model Files  4.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than nroggendorff/vegetarian-mayo.

Rank the Vegetarian Mayo Capabilities

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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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Release v20241227
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