What are the hardware requirements for Shreyansh STEM AI 7B Final?

Shreyansh STEM AI 7B Final requires approximately 14.6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Shreyansh STEM AI 7B Final and how large is it?

Shreyansh STEM AI 7B Final is developed by shreyansh12183, a model with 7b 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 Shreyansh STEM AI 7B Final?

Shreyansh STEM AI 7B Final is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Shreyansh STEM AI 7B Final by shreyansh12183 — VRAM 14.6GB, 4K context

Name: Shreyansh STEM AI 7B Final
Author: shreyansh12183

Shreyansh STEM AI 7B Final is an open-source language model by shreyansh12183. Features: 7b LLM, VRAM: 14.6GB, Context: 4K, LLM Explorer Score: 0.28.

Olmo2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/shreyansh12183/Shreyansh-STEM-AI-7B-Final

Shreyansh STEM AI 7B Final Parameters and Internals

LLM Name	Shreyansh STEM AI 7B Final
Repository 🤗	https://huggingface.co/shreyansh12183/Shreyansh-STEM-AI-7B-Final
Model Size	7b
Required VRAM	14.6 GB
Updated	2026-10-05
Maintainer	shreyansh12183
Model Type	olmo2
Model Files	4.0 GB: 1-of-4 3.9 GB: 2-of-4 4.0 GB: 3-of-4 2.7 GB: 4-of-4
Model Architecture	Olmo2ForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	5.0.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	100352

Rank the Shreyansh STEM AI 7B Final 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

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