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Tinyllama 15M Alpaca Finetuned by elvinmarkmv

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  Autotrain compatible Base model:finetune:nickypro/t... Base model:nickypro/tinyllama-...   Dataset:tatsu-lab/alpaca   En   Endpoints compatible   Finetuned   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/elvinmarkmv/tinyllama-15M-alpaca-finetuned 

Tinyllama 15M Alpaca Finetuned Benchmarks

LLME Score: 0.22719
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama 15M Alpaca Finetuned (elvinmarkmv/tinyllama-15M-alpaca-finetuned)

Tinyllama 15M Alpaca Finetuned Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (fluent)
Training Details 
Data Sources:
tatsu-lab/alpaca
LLM NameTinyllama 15M Alpaca Finetuned
Repository 🤗https://huggingface.co/elvinmarkmv/tinyllama-15M-alpaca-finetuned 
Base Model(s)  Tinyllama 15M   nickypro/tinyllama-15M
Model Size15m
Required VRAM0.1 GB
Updated2025-02-05
Maintainerelvinmarkmv
Model Typellama
Model Files  0.1 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length256
Model Max Length256
Transformers Version4.44.2
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 elvinmarkmv/tinyllama-15M-alpaca-finetuned.

Rank the Tinyllama 15M Alpaca Finetuned Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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