Boris 250M by KSP-NMAI

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Boris 250M is an open-source language model by KSP-NMAI. Features: 250m LLM, VRAM: 1GB, License: apache-2.0, LLM Explorer Score: 0.29.

  250m   Boris Dataset:huggingfacefw/fineweb-... Dataset:mlfoundations/dclm-bas...   En   Endpoints compatible   Gpt2   Nmai   Region:us   Safetensors

Boris 250M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Boris 250M (KSP-NMAI/Boris-250M)

Boris 250M Parameters and Internals

LLM NameBoris 250M
Repository 🤗https://huggingface.co/KSP-NMAI/Boris-250M 
Model Size250m
Required VRAM1 GB
Updated2026-07-25
MaintainerKSP-NMAI
Model Typegpt2
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Transformers Version5.13.1
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size50304
Activation Functiongelu
Errorsreplace

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Rank the Boris 250M 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