What are the hardware requirements for My First Math AI?

My First Math AI requires approximately 5.2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed My First Math AI and how large is it?

My First Math AI is developed by Irusha14, a model with 2b 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 My First Math AI?

My First Math AI is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

My First Math AI by Irusha14 — VRAM 5.2GB, 8K context

Name: My First Math AI
Author: Irusha14

My First Math AI is an open-source language model by Irusha14. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.32.

4bit Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-2b-... Conversational En Endpoints compatible Gemma2 Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Irusha14/My_First_Math_AI

My First Math AI Parameters and Internals

LLM Name	My First Math AI
Repository 🤗	https://huggingface.co/Irusha14/My_First_Math_AI
Base Model(s)	Gemma 2 2B It Bnb 4bit unsloth/gemma-2-2b-it-bnb-4bit
Model Size	2b
Required VRAM	5.2 GB
Updated	2026-09-19
Maintainer	Irusha14
Model Type	gemma2
Model Files	5.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the My First Math AI capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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