Samantha2.0 Phi 3.5 Mini ITA by WasamiKirua

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Samantha2.0 Phi 3.5 Mini ITA is an open-source language model by WasamiKirua. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: cc-by-4.0, Instruction-Based, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-3.5-m...   Companion   Conversational   Custom code Dataset:wasamikirua/haiku-ita-... Dataset:wasamikirua/samantha2....   Endpoints compatible   Eq   Instruct   It   Phi3   Psychology   Region:us   Safetensors   Sharded   Tensorflow

Samantha2.0 Phi 3.5 Mini ITA Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Samantha2.0 Phi 3.5 Mini ITA (WasamiKirua/Samantha2.0-Phi-3.5-mini-ITA)
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Samantha2.0 Phi 3.5 Mini ITA Parameters and Internals

LLM NameSamantha2.0 Phi 3.5 Mini ITA
Repository ๐Ÿค—https://huggingface.co/WasamiKirua/Samantha2.0-Phi-3.5-mini-ITA 
Base Model(s)  microsoft/Phi-3.5-mini-instruct   microsoft/Phi-3.5-mini-instruct
Model Size3.8b
Required VRAM7.7 GB
Updated2025-04-11
MaintainerWasamiKirua
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2   0.0 GB
Supported Languagesit
Model ArchitecturePhi3ForCausalLM
Licensecc-by-4.0
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than WasamiKirua/Samantha2.0-Phi-3.5-mini-ITA.

Rank the Samantha2.0 Phi 3.5 Mini ITA 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