Boris 125M Instruct is an open-source language model by KSP-NMAI. Features: 125m LLM, VRAM: 0.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.
125m Base model:finetune:ksp-nmai/b... Base model:ksp-nmai/boris-125m 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-125M-Instruct
Boris 125M 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 125M Instruct Parameters and Internals
| LLM Name | Boris 125M Instruct |
| Repository 🤗 | https://huggingface.co/KSP-NMAI/Boris-125M-Instruct |
| Base Model(s) | |
| Model Size | 125m |
| Required VRAM | 0.5 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 |
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Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a