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Tara 3.8B V1.1 by Sakalti

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  Autotrain compatible Base model:finetune:sakalti/ta...   Base model:sakalti/tara-3.8b   Conversational   Dataset:llm-jp/oasst2-33k-ja   En   Endpoints compatible   Ja   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Sakalti/Tara-3.8B-v1.1 

Tara 3.8B V1.1 Benchmarks

MMLU Pro: 25.35
GPQA: 5.93
MUSR: 19.44
BBH: 28.91
IFEval: 40.62 vs 88 (so35)-53.8%
MATH Lvl 5: 11.56
LLME Score: 0.31988
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 V1.1 (Sakalti/Tara-3.8B-v1.1)

Tara 3.8B V1.1 Parameters and Internals

LLM NameTara 3.8B V1.1
Repository 🤗https://huggingface.co/Sakalti/Tara-3.8B-v1.1 
Base Model(s)  Sakalti/tara-3.8B   Sakalti/tara-3.8B
Model Size3.8b
Required VRAM7.6 GB
Updated2025-02-22
MaintainerSakalti
Model Typellama
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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...3 Mini 128K Instruct LLaMAfied128K / 7.6 GB833

Rank the Tara 3.8B V1.1 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  
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Multi-Language Support and Translation  

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