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Saka 3.8B by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:anakin87/phi-3.5-mi... Base model:axcxept/borea-phi-3...   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/Saka-3.8B 

Saka 3.8B Benchmarks

LLME Score: 0.22724
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Saka 3.8B Parameters and Internals

LLM NameSaka 3.8B
Repository 🤗https://huggingface.co/Sakalti/Saka-3.8B 
Base Model(s)  AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common   microsoft/phi-3.5-mini-instruct   anakin87/Phi-3.5-mini-ITA   AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common   microsoft/phi-3.5-mini-instruct   anakin87/Phi-3.5-mini-ITA
Merged ModelYes
Model Size3.8b
Required VRAM7.7 GB
Updated2025-06-09
MaintainerSakalti
Model Typephi3
Instruction-BasedYes
Model Files  1.0 GB: 1-of-9   1.0 GB: 2-of-9   1.0 GB: 3-of-9   0.9 GB: 4-of-9   0.9 GB: 5-of-9   0.9 GB: 6-of-9   0.9 GB: 7-of-9   0.9 GB: 8-of-9   0.2 GB: 9-of-9
Model ArchitecturePhi3ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16
Saka 3.8B (Sakalti/Saka-3.8B)

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/Saka-3.8B.

Rank the Saka 3.8B 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 v20241124
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