What are the hardware requirements for HelpingAI 110M?

HelpingAI 110M requires approximately 0.2 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed HelpingAI 110M and how large is it?

HelpingAI 110M is developed by OEvortex, a model with 110m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does HelpingAI 110M perform on standard benchmarks?

HelpingAI 110M has the following published scores: MMLU 23.66. Compare against reference models on this page or on the LLM Explorer leaderboards.

HelpingAI 110M by OEvortex — VRAM 0.2GB, 1K context

Name: HelpingAI 110M
Author: OEvortex

HelpingAI 110M is an open-source language model by OEvortex. Features: 110m LLM, VRAM: 0.2GB, Context: 1K, License: other, LLM Explorer Score: 0.16, Arc: 22.8, HellaSwag: 28, MMLU: 23.7.

Autotrain compatible Dataset:oevortex/vortex-mini En Endpoints compatible Helpingai License:other Llama Model-index Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/OEvortex/HelpingAI-110M

HelpingAI 110M Parameters and Internals

LLM Name	HelpingAI 110M
Repository 🤗	https://huggingface.co/OEvortex/HelpingAI-110M
Model Size	110m
Required VRAM	0.2 GB
Updated	2024-07-15
Maintainer	OEvortex
Model Type	llama
Model Files	0.2 GB 0.2 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	1024
Model Max Length	1024
Transformers Version	4.33.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000

Rank the HelpingAI 110M 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 110M

Best Alternatives	Context / RAM	Downloads	Likes
TinyBalls 110M V1	32K / 0.5 GB	314	1
BigWeave V20 110B	4K / 220 GB	51	0
...10M Experimental V0.1 Instruct	1K / 0.2 GB	36	1
Tinybooks 110M Idiot Iter1000	1K / 0.4 GB	6	0
TinyStoriesChinese 110M	1K / 0.4 GB	5	1
Tinyllama 110M Fp32	1K / 0.4 GB	1480	0
Llama 110M	1K / 0.2 GB	11	0
Tinyllama 110M	1K / 0.2 GB	866	6

Note: green Score (e.g. "73.2") means that the model is better than OEvortex/HelpingAI-110M.