What are the hardware requirements for UniversalNER TinyLLama?

UniversalNER TinyLLama requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed UniversalNER TinyLLama and how large is it?

UniversalNER TinyLLama is developed by nghiadt22, a model with 4.6m 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 UniversalNER TinyLLama?

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

UniversalNER TinyLLama by nghiadt22 — 2K context

Name: UniversalNER TinyLLama
Author: nghiadt22

UniversalNER TinyLLama is an open-source language model by nghiadt22. Features: 4.6m LLM, Context: 2K, License: mit, LLM Explorer Score: 0.11.

Autotrain compatible Dataset:universal-ner/pile-ner... En Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nghiadt22/universalNER_tinyLLama

UniversalNER TinyLLama Parameters and Internals

Supported Languages

en (full)

LLM Name	UniversalNER TinyLLama
Repository 🤗	https://huggingface.co/nghiadt22/universalNER_tinyLLama
Model Size	4.6m
Required VRAM	0 GB
Updated	2025-09-23
Maintainer	nghiadt22
Model Type	llama
Model Files	0.0 GB 0.0 GB 0.0 GB 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the UniversalNER TinyLLama 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 UniversalNER TinyLLama

Best Alternatives	Context / RAM	Downloads	Likes
TinyLLama V0	2K / 0 GB	231176	45
SimpleLlamaSentences	2K / 0 GB	6	0
UniversalNER TinyLLama	2K / 0 GB	10	1
Q4 Llama 3	8K / 6.1 GB	12	0
Llama3 Finetune 4bit	8K / 6.1 GB	0	0

Note: green Score (e.g. "73.2") means that the model is better than nghiadt22/universalNER_tinyLLama.