What are the hardware requirements for HAI SER?

HAI SER requires approximately 27.3 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 HAI SER and how large is it?

HAI SER is developed by HelpingAI, a model with 13.7b 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 HAI SER?

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

HAI SER by HelpingAI — VRAM 27.3GB, 128K context

Name: HAI SER
Rating: 3.25 (4 reviews)
Author: HelpingAI

HAI SER is an open-source language model by HelpingAI. Features: 13.7b LLM, VRAM: 27.3GB, Context: 128K, License: other, LLM Explorer Score: 0.16.

Conversational Conversational ai Emotional reasoning En Endpoints compatible Helpingai Mixtral Region:us Safetensors Ser Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/HelpingAI/HAI-SER

HAI SER Parameters and Internals

LLM Name	HAI SER
Repository 🤗	https://huggingface.co/HelpingAI/HAI-SER
Model Size	13.7b
Required VRAM	27.3 GB
Updated	2026-07-06
Maintainer	HelpingAI
Model Type	mixtral
Model Files	5.0 GB: 1-of-6 4.9 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 4.9 GB: 5-of-6 2.5 GB: 6-of-6
Supported Languages	en
Model Architecture	MixtralForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<｜begin▁of▁sentence｜>
Vocabulary Size	128256
Torch Data Type	float16

Rank the HAI SER 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 HAI SER

Best Alternatives	Context / RAM	Downloads	Likes
L3.1 MoE 2x8B V0.2	128K / 27.3 GB	9	9
... Deepseek DeepHermes E32 13.7B	128K / 54.9 GB	5	0
L3.1 Celestial Stone 2x8B	128K / 27.3 GB	312	3
...ma 3 2x8B Instruct MoE 64K Ctx	64K / 27.3 GB	12	4
Penny Llama3 2x8b	8K / 27.3 GB	6	1
Kilo 2x8B	8K / 27.5 GB	12	1
Defne Llama3 2x8B	8K / 27.4 GB	15	6
Llama 3 Elyza Youko MoE 2x8B	8K / 27.3 GB	10	0
Llama 3 ELYZA Hermes 2x8B	8K / 27.4 GB	3	1
Inixion 2x8B V2	8K / 27.4 GB	6	2

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