LLM EXPLORER 58,608 MODELS INDEXED

Boris 250M Instruct by KSP-NMAI

By KSP-NMAI · 73 downloads

Boris 250M Instruct is an open-source language model by KSP-NMAI. Features: 250m LLM, VRAM: 1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.26.

  250m Base model:finetune:ksp-nmai/b...   Base model:ksp-nmai/boris-250m   Boris   Conversational Dataset:huggingfacefw/fineweb-... Dataset:mlfoundations/dclm-bas...   Dataset:tatsu-lab/alpaca   En   Endpoints compatible   Gpt2   Instruct   Nmai   Region:us   Safetensors

Boris 250M Instruct Parameters and Internals

LLM NameBoris 250M Instruct
Repository πŸ€—https://huggingface.co/KSP-NMAI/Boris-250M-Instruct 
Base Model(s)  Boris 250M   KSP-NMAI/Boris-250M
Model Size250m
Required VRAM1 GB
Updated2026-07-25
MaintainerKSP-NMAI
Model Typegpt2
Instruction-BasedYes
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

Best Alternatives to Boris 250M Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Boris 250M Instruct0K / 1 GB830
Note: green Score (e.g. "73.2") means that the model is better than KSP-NMAI/Boris-250M-Instruct.