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Phi Stoma by Replete-AI

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Phi Stoma is an open-source language model by Replete-AI. Features: 7.8b LLM, VRAM: 15.6GB, Context: 2K, License: mit, Merged, HF Score: 45.7, LLM Explorer Score: 0.16, Arc: 48.5, HellaSwag: 60.3, MMLU: 51.5, TruthfulQA: 52.1, WinoGrande: 61.7.

  Merged Model   Autotrain compatible   Conversational   En   Endpoints compatible   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Replete-AI/Phi-Stoma 

Phi Stoma Benchmarks

ARC: 48.46 vs 96.7 (so35)-49.9%
HellaSwag: 60.29 vs 95.3 (gpt4)-36.7%
MMLU: 51.53 vs 88.3 (so35)-41.6%
TruthfulQA: 52.05 vs 59 (gpt4)-11.8%
WinoGrande: 61.72 vs 87.5 (gpt4)-29.5%
LLME Score: 0.15759
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi Stoma (Replete-AI/Phi-Stoma)
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Phi Stoma Parameters and Internals

Model Type 
Interleaved Layers LLM
Additional Notes 
The model uses a chat template similar to Mistral instruct models.
Supported Languages 
en (high)
Training Details 
Methodology:
Passthrough method with concatenating layers
Model Architecture:
Concatenated layers from different LLMs
Input Output 
Input Format:
Tokenized input with chat template
Accepted Modalities:
text
Output Format:
Generated text
LLM NamePhi Stoma
Repository 🤗https://huggingface.co/Replete-AI/Phi-Stoma 
Merged ModelYes
Model Size7.8b
Required VRAM15.6 GB
Updated2025-09-23
MaintainerReplete-AI
Model Typephi
Model Files  10.0 GB: 1-of-2   5.6 GB: 2-of-2
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.38.2
Tokenizer ClassCodeGenTokenizer
Padding Token[PAD]
Vocabulary Size51200
Torch Data Typefloat16

Best Alternatives to Phi Stoma

Best Alternatives
Context / RAM
Downloads
Likes
Phi Delthanar2K / 15.6 GB1132
Phixtral 4x2 8 Gates Poc0K / 15.7 GB14
Phixtral 4x2 8 GPTQ0K / 4.5 GB1824
Note: green Score (e.g. "73.2") means that the model is better than Replete-AI/Phi-Stoma.

Rank the Phi Stoma Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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