What are the hardware requirements for NuExtract 1.5 Tiny?

NuExtract 1.5 Tiny requires approximately 1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NuExtract 1.5 Tiny and how large is it?

NuExtract 1.5 Tiny is developed by numind, a model with 0.5b 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 NuExtract 1.5 Tiny?

NuExtract 1.5 Tiny is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NuExtract 1.5 Tiny by numind — VRAM 1GB, 32K context

Name: NuExtract 1.5 Tiny
Author: numind

NuExtract 1.5 Tiny is an open-source language model by numind. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: mit, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b Conversational Multilingual Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/numind/NuExtract-1.5-tiny

NuExtract 1.5 Tiny Parameters and Internals

LLM Name	NuExtract 1.5 Tiny
Repository 🤗	https://huggingface.co/numind/NuExtract-1.5-tiny
Base Model(s)	Qwen/Qwen2.5-0.5B Qwen/Qwen2.5-0.5B
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-08-07
Maintainer	numind
Model Type	qwen2
Model Files	1.0 GB
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the NuExtract 1.5 Tiny 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 NuExtract 1.5 Tiny

Best Alternatives	Context / RAM	Downloads	Likes
Reader Lm 0.5B	250K / 1 GB	188	150
Qwen2 0.5B	128K / 1 GB	1216780	169
Qwen2 0.5B Finetune Exp 1	128K / 1 GB	15	0
...0.5B FT EnhancedMUSREnsembleV3	128K / 1 GB	32	1
....5B FT V4 MUSR ENSEMBLE Mathis	128K / 2 GB	30	1
...0.5B FT MUSR ENSEMBLE V2Mathis	128K / 1 GB	25	0
...PRYMMAL 0.5B FT V4 MUSR Mathis	128K / 1 GB	62	1
Qwen2 0.5B Stf Imdb	128K / 1 GB	7	0
ECE PRYMMAL 0.5B FT V3 MUSR	128K / 2 GB	17	0
ECE PRYMMAL 0.5B FT V4 MUSR	128K / 2 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than numind/NuExtract-1.5-tiny.