What are the hardware requirements for Boris 1.3 75M?

Boris 1.3 75M requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Boris 1.3 75M and how large is it?

Boris 1.3 75M is developed by KSP-NMAI, a model with 75m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Boris 1.3 75M?

Boris 1.3 75M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Boris 1.3 75M by KSP-NMAI — VRAM 0.3GB

Name: Boris 1.3 75M
Author: KSP-NMAI

Boris 1.3 75M is an open-source language model by KSP-NMAI. Features: 75m LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.26.

75m Boris Dataset:huggingfacefw/fineweb-... Dataset:mlfoundations/dclm-bas... En Endpoints compatible Gpt2 Nmai Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/KSP-NMAI/Boris-1.3-75M

Boris 1.3 75M Parameters and Internals

LLM Name	Boris 1.3 75M
Repository 🤗	https://huggingface.co/KSP-NMAI/Boris-1.3-75M
Model Size	75m
Required VRAM	0.3 GB
Updated	2026-07-27
Maintainer	KSP-NMAI
Model Type	gpt2
Model Files	0.3 GB
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 1.3 75M 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

Best Alternatives to Boris 1.3 75M

Best Alternatives	Context / RAM	Downloads	Likes
Boris 1.3 75M	0K / 0.3 GB	71	0

Note: green Score (e.g. "73.2") means that the model is better than KSP-NMAI/Boris-1.3-75M.