What are the hardware requirements for Storm3BStudent?

Storm3BStudent requires approximately 2.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Storm3BStudent and how large is it?

Storm3BStudent is developed by Hlias11, a model with 3b 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 Storm3BStudent?

Storm3BStudent is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Storm3BStudent by Hlias11 — VRAM 2.2GB, 128K context

Name: Storm3BStudent
Author: Hlias11

Storm3BStudent is an open-source language model by Hlias11. Features: 3b LLM, VRAM: 2.2GB, Context: 128K, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

Arxiv:1910.09700 4-bit 4bit Autotrain compatible Bitsandbytes Conversational Endpoints compatible Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Hlias11/Storm3BStudent

Storm3BStudent Parameters and Internals

LLM Name	Storm3BStudent
Repository 🤗	https://huggingface.co/Hlias11/Storm3BStudent
Model Size	3b
Required VRAM	2.2 GB
Updated	2025-09-20
Maintainer	Hlias11
Model Type	llama
Instruction-Based	Yes
Model Files	2.2 GB
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Storm3BStudent 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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Note: green Score (e.g. "73.2") means that the model is better than Hlias11/Storm3BStudent.