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Tara 3.8B by Sakalti

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  Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3.5-min...   Conversational   Dataset:lazycuber/alpaca-jp   En   Endpoints compatible   Instruct   Ja   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Sakalti/tara-3.8B 

Tara 3.8B Benchmarks

MMLU Pro: 25.35
GPQA: 5.93
MUSR: 19.44
BBH: 28.91
IFEval: 40.77 vs 88 (so35)-53.7%
MATH Lvl 5: 11.56
LLME Score: 0.26223
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tara 3.8B (Sakalti/tara-3.8B)
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Tara 3.8B Parameters and Internals

LLM NameTara 3.8B
Repository 🤗https://huggingface.co/Sakalti/tara-3.8B 
Base Model(s)  unsloth/Phi-3.5-mini-instruct   unsloth/Phi-3.5-mini-instruct
Model Size3.8b
Required VRAM7.6 GB
Updated2025-09-23
MaintainerSakalti
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen ja
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length150000
Model Max Length150000
Transformers Version4.47.1
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Rank the Tara 3.8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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