What are the hardware requirements for HelpingAI Lite?

HelpingAI Lite requires approximately 2.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed HelpingAI Lite and how large is it?

HelpingAI Lite is developed by OEvortex, a model with 1.1b 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 HelpingAI Lite?

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

HelpingAI Lite by OEvortex — VRAM 2.2GB, 2K context

Name: HelpingAI Lite
Author: OEvortex

HelpingAI Lite is an open-source language model by OEvortex. Features: 1.1b LLM, VRAM: 2.2GB, Context: 2K, License: mit, LLM Explorer Score: 0.11.

Coder Conversational Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62... Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee... En Endpoints compatible Helpingai Llama Model-index Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/OEvortex/HelpingAI-Lite

HelpingAI Lite Parameters and Internals

Model Type

text-generation

Additional Notes

HelpingAI-Lite is a lite version of the HelpingAI model that can assist with coding tasks. It's trained on a diverse range of datasets and fine-tuned to provide accurate and helpful responses.

Supported Languages

en (full)

Training Details

Data Sources:

cerebras/SlimPajama-627B, bigcode/starcoderdata, HuggingFaceH4/ultrachat_200k, HuggingFaceH4/ultrafeedback_binarized

Input Output

Accepted Modalities:

text

LLM Name	HelpingAI Lite
Repository 🤗	https://huggingface.co/OEvortex/HelpingAI-Lite
Model Size	1.1b
Required VRAM	2.2 GB
Updated	2026-07-27
Maintainer	OEvortex
Model Type	llama
Model Files	2.2 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the HelpingAI Lite 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 HelpingAI Lite

Best Alternatives	Context / RAM	Downloads	Likes
TinyKiller NSFW DPO 1.1B	32K / 2.2 GB	12	0
Coven Tiny 1.1b 32k Orpo Alpha	32K / 2.2 GB	9	2
Test Mix 01	32K / 2.2 GB	5	0
Palmer Merge Test 5	32K / 2.2 GB	5	0
TinyLlama 1.1B 32K Instruct	32K / 2.2 GB	952	13
...llama 1.1B 16K Instructions V4	32K / 2.2 GB	8	0
TinyJ.O.S.I.E. 1.1B 32K Base	32K / 2.2 GB	30	1
Palmer 002 32K	32K / 2.2 GB	9	0
TinyJ.O.S.I.E. 1.1B 32K Base	32K / 2.2 GB	5	1
...lama 1.1B 16K Instructions Rag	32K / 2.2 GB	25	0

Note: green Score (e.g. "73.2") means that the model is better than OEvortex/HelpingAI-Lite.