What are the hardware requirements for NaturalLanguagePioneersSTEMExp?

NaturalLanguagePioneersSTEMExp requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NaturalLanguagePioneersSTEMExp and how large is it?

NaturalLanguagePioneersSTEMExp is developed by AliE02. 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 NaturalLanguagePioneersSTEMExp?

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

NaturalLanguagePioneersSTEMExp by AliE02 — VRAM 0.4GB

Name: NaturalLanguagePioneersSTEMExp
Author: AliE02

NaturalLanguagePioneersSTEMExp is an open-source language model by AliE02. Features: LLM, VRAM: 0.4GB, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:1910.09700 4bit Adapter Base model:adapter:loftq/phi-3... Base model:loftq/phi-3-mini-12... Finetuned Instruct Lora Peft Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/AliE02/NaturalLanguagePioneersSTEMExp

NaturalLanguagePioneersSTEMExp Parameters and Internals

LLM Name	NaturalLanguagePioneersSTEMExp
Repository 🤗	https://huggingface.co/AliE02/NaturalLanguagePioneersSTEMExp
Base Model(s)	...Mini 128K Instruct 4bit 64rank LoftQ/Phi-3-mini-128k-instruct-4bit-64rank
Required VRAM	0.4 GB
Updated	2026-09-08
Maintainer	AliE02
Instruction-Based	Yes
Model Files	0.4 GB 0.0 GB
Quantization Type	4bit
Model Architecture	Adapter
Model Max Length	131072
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|up_gate_proj\|o_proj\|qkv_proj
LoRA Alpha	16
LoRA Dropout	0.1
R Param	64

Rank the NaturalLanguagePioneersSTEMExp 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

Best Alternatives to NaturalLanguagePioneersSTEMExp

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Mymodel	0K / 0.1 GB	5	0
Phi 3 Mini 4K Instruct Sa V0.1	0K / 0 GB	6	0
...caaaf043da230d9a30d8e0ddcbe879	0K / 0.4 GB	11	0
...357cade9cc1096cecc35c34dba8992	0K / 1.3 GB	10	0
...ini Instruct MedicalChat QLoRA	0K / 0.1 GB	0	2
...mall Physics Finetuned Adapter	0K / 0.1 GB	9	1
Mistral Small Dampf Qlora	0K / 0.8 GB	8	0
Mistral Small Fujin Qlora	0K / 0.8 GB	11	2
Test	0K / 0 GB	5	0
Vfgf	0K / 0 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than AliE02/NaturalLanguagePioneersSTEMExp.