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: 0.29.
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
Model Card on HF 🤗: https://huggingface.co/KSP-NMAI/Boris-250M-Instruct
Boris 250M Instruct Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Boris 250M Instruct Parameters and Internals
| LLM Name | Boris 250M Instruct |
| Repository 🤗 | https://huggingface.co/KSP-NMAI/Boris-250M-Instruct |
| Base Model(s) | |
| Model Size | 250m |
| Required VRAM | 1 GB |
| Updated | 2026-07-25 |
| Maintainer | KSP-NMAI |
| Model Type | gpt2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPT2LMHeadModel |
| License | apache-2.0 |
| Transformers Version | 5.13.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|padding|> |
| Vocabulary Size | 50304 |
| Activation Function | gelu |
| Errors | replace |
Rank the Boris 250M Instruct 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! 🌟
What open-source LLMs or SLMs are you in search of? 55396 in total.
Original data from HuggingFace, Arena and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a