Tinyllama 15M Alpaca Finetuned by elvinmarkmv

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Tinyllama 15M Alpaca Finetuned is an open-source language model by elvinmarkmv. Features: 15m LLM, VRAM: 0.1GB, Context: 0.3K, Fine-Tuned, LLM Explorer Score: 0.15.

Base model:finetune:nickypro/t... Base model:nickypro/tinyllama-...   Dataset:tatsu-lab/alpaca   En   Endpoints compatible   Finetuned   Llama   Region:us   Safetensors

Tinyllama 15M Alpaca Finetuned Benchmarks

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 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
Updated2026-05-10
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

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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 v20260328a