What are the hardware requirements for NuExtract V1.5?

NuExtract V1.5 requires approximately 7.7 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 NuExtract V1.5 and how large is it?

NuExtract V1.5 is developed by numind, a model with 3.8b 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 V1.5?

NuExtract V1.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NuExtract V1.5 by numind — VRAM 7.7GB, 128K context

Name: NuExtract V1.5
Author: numind

NuExtract V1.5 is an open-source language model by numind. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: mit, Instruction-Based, LLM Explorer Score: 0.22.

Base model:finetune:microsoft/... Base model:microsoft/phi-3.5-m... Conversational Custom code Endpoints compatible Instruct Multilingual Phi3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/numind/NuExtract-v1.5

NuExtract V1.5 Parameters and Internals

Model Type

text-generation

Additional Notes

Model prioritizes pure extraction, ensuring generated text is present in original text.

Supported Languages

English (supported), French (supported), Spanish (supported), German (supported), Portuguese (supported), Italian (supported)

Input Output

Input Format:

input text and a JSON template

Accepted Modalities:

text

Output Format:

text matching the structure of the JSON template

LLM Name	NuExtract V1.5
Repository 🤗	https://huggingface.co/numind/NuExtract-v1.5
Base Model(s)	microsoft/Phi-3.5-mini-instruct microsoft/Phi-3.5-mini-instruct
Model Size	3.8b
Required VRAM	7.7 GB
Updated	2024-11-13
Maintainer	numind
Model Type	phi3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.7 GB: 2-of-2
Model Architecture	Phi3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the NuExtract V1.5 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 V1.5

Best Alternatives	Context / RAM	Downloads	Likes
Phi 4 Mini Instruct	128K / 7.7 GB	514603	791
Phi 3.5 Mini Instruct	128K / 7.7 GB	1164079	999
Phi 3 Mini 128K Instruct	128K / 7.7 GB	233663	1700
Phi 3 Mini 128K Instruct	128K / 7.7 GB	7	0
Phi 4 Mini Abliterated	128K / 7.7 GB	33	1
Phi 3 Mini 128K Instruct	128K / 7.7 GB	11	0
Phi 4 Mini Instruct Heretic	128K / 7.7 GB	13	0
Phi 3.5 Mini TitanFusion 0.1	128K / 7.7 GB	7	0
MediPhi Instruct	128K / 7.7 GB	1671	69
ECE EIFFEL 3Bv2	128K / 7.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than numind/NuExtract-v1.5.