What are the hardware requirements for Healix 410M?

Healix 410M requires approximately 1.6 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 Healix 410M and how large is it?

Healix 410M is developed by health360, a model with 410m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Healix 410M perform on standard benchmarks?

Healix 410M has the following published scores: MMLU 24.94. Compare against reference models on this page or on the LLM Explorer leaderboards.

Healix 410M by health360 — VRAM 1.6GB, 2K context

Name: Healix 410M
Author: health360

Healix 410M is an open-source language model by health360. Features: 410m LLM, VRAM: 1.6GB, Context: 2K, LLM Explorer Score: 0.15, Arc: 25.1, HellaSwag: 32, MMLU: 24.9.

Endpoints compatible Gpt neox Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/health360/Healix-410M

Healix 410M Benchmarks

ARC: 25.09 vs 96.7 (so35)^-74.1%

HellaSwag: 32.02 vs 95.3 (gpt4)^-66.4%

MMLU: 24.94 vs 88.3 (so35)^-71.8%

LLME Score: 0.15181

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Healix 410M Parameters and Internals

LLM Name	Healix 410M
Repository 🤗	https://huggingface.co/health360/Healix-410M
Model Size	410m
Required VRAM	1.6 GB
Updated	2026-05-14
Maintainer	health360
Model Type	gpt_neox
Model Files	1.6 GB
Model Architecture	GPTNeoXForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.34.0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50304
Torch Data Type	float32

Best Alternatives to Healix 410M

Best Alternatives	Context / RAM	Downloads	Likes
...thia 410M Cell Type Prediction	4K / 0 GB	1490	10
Pythia 410M	2K / 0.9 GB	169864	37
Pythia 410M Sft Full	2K / 0.8 GB	4	1
Pythia 410M Deduped	2K / 0.9 GB	25046	20
Pythia410m Sft Tldr	2K / 1.6 GB	1414	0
Pythia 410M Deduped SimPOW 0	2K / 0.8 GB	5	0
Pythia 410M Orpo	2K / 1.6 GB	5	0
...7 Kl 01 Steps 12000 Rlhf Model	2K / 1.6 GB	11	0
Pythia 410M Ludii Sft	2K / 1.6 GB	9	0
... Llm Pythia 410M Pm Gen Ian Nd	2K / 1.6 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than health360/Healix-410M.

Rank the Healix 410M Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Healix 410M by health360

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Healix 410M Benchmarks

Healix 410M Parameters and Internals

Best Alternatives to Healix 410M

Rank the Healix 410M Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.