Healix 410M is an open-source language model by health360. Features: 410m LLM, VRAM: 1.6GB, Context: 2K, HF Score: 30.1, LLM Explorer Score: 0.15, Arc: 25.1, HellaSwag: 32, MMLU: 24.9, TruthfulQA: 44.4, WinoGrande: 54.1.
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%
TruthfulQA: 44.42 vs 59 (gpt4)-24.7%
WinoGrande: 54.14 vs 87.5 (gpt4)-38.1%
LLME Score: 0.15448
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)
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 | 2026-03-11 |
| Maintainer | health360 |
| Model Type | gpt_neox |
| Model Files | |
| 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 | 833 | 10 |
| Pythia 410M | 2K / 0.9 GB | 184764 | 36 |
| Pythia 410M Sft Full | 2K / 0.8 GB | 5 | 1 |
| Pythia 410M Deduped | 2K / 0.9 GB | 26812 | 20 |
| 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 | 5 | 0 |
| Pythia 410M Ludii Sft | 2K / 1.6 GB | 5 | 0 |
| ... Llm Pythia 410M Pm Gen Ian Nd | 2K / 1.6 GB | 5 | 0 |
| Pythia410m Sft Tldr | 2K / 1.6 GB | 12 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than health360/Healix-410M .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a