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Hyperion 3.0 Mixtral 3x7B by Locutusque

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Hyperion 3.0 Mixtral 3x7B is an open-source language model by Locutusque. Features: 18.5b LLM, VRAM: 37.1GB, Context: 32K, License: apache-2.0, MoE, HF Score: 61.8, LLM Explorer Score: 0.15, Arc: 60.7, HellaSwag: 83.3, MMLU: 63.2, TruthfulQA: 43.5, WinoGrande: 79, GSM8K: 41.4.

Dataset:locutusque/dibt-instru... Dataset:locutusque/hyperion-v3...   Dataset:pygmalionai/pippa   En   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Locutusque/Hyperion-3.0-Mixtral-3x7B 

Hyperion 3.0 Mixtral 3x7B Benchmarks

ARC: 60.67 vs 96.7 (so35)-37.3%
HellaSwag: 83.28 vs 95.3 (gpt4)-12.6%
MMLU: 63.22 vs 88.3 (so35)-28.4%
TruthfulQA: 43.46 vs 59 (gpt4)-26.3%
WinoGrande: 79.01 vs 87.5 (gpt4)-9.7%
GSM8K: 41.39 vs 96.4 (so35)-57.1%
LLME Score: 0.1525
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hyperion 3.0 Mixtral 3x7B (Locutusque/Hyperion-3.0-Mixtral-3x7B)
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Hyperion 3.0 Mixtral 3x7B Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Use Cases 
Limitations:
Not suitable for production environments or critical applications
Considerations:
Intended for research and experimentation purposes only.
Additional Notes 
The model uses the `hyperion-3.0-beta` architecture as the base, with a `bfloat16` output dtype. The gating mechanism is set to `hidden` and two experts are consulted per token.
Supported Languages 
en (English (en))
Training Details 
Data Sources:
Locutusque/dibt-instruct, PygmalionAI/PIPPA, Locutusque/hyperion-v3.0
Methodology:
QLoRA and SFT
Model Architecture:
hyperion-3.0-beta
LLM NameHyperion 3.0 Mixtral 3x7B
Repository 🤗https://huggingface.co/Locutusque/Hyperion-3.0-Mixtral-3x7B 
Model Size18.5b
Required VRAM37.1 GB
Updated2026-03-09
MaintainerLocutusque
Model Typemixtral
Model Files  1.9 GB: 1-of-19   2.0 GB: 2-of-19   2.0 GB: 3-of-19   2.0 GB: 4-of-19   2.0 GB: 5-of-19   2.0 GB: 6-of-19   2.0 GB: 7-of-19   2.0 GB: 8-of-19   2.0 GB: 9-of-19   2.0 GB: 10-of-19   2.0 GB: 11-of-19   2.0 GB: 12-of-19   2.0 GB: 13-of-19   2.0 GB: 14-of-19   2.0 GB: 15-of-19   2.0 GB: 16-of-19   2.0 GB: 17-of-19   2.0 GB: 18-of-19   1.2 GB: 19-of-19
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Locutusque/Hyperion-3.0-Mixtral-3x7B.

Rank the Hyperion 3.0 Mixtral 3x7B Capabilities

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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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