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Hy3 Heretic by trohrbaugh

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Hy3 Heretic is an open-source language model by trohrbaugh. Features: 295b LLM, VRAM: 323.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

  Abliterated   Conversational   Decensored   Endpoints compatible   Heretic   Hunyuan   Hy3   Hy v3   Moe   Region:us   Safetensors   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/trohrbaugh/Hy3-heretic 

Hy3 Heretic Benchmarks

LLME Score: 0.32772
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hy3 Heretic (trohrbaugh/Hy3-heretic)
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Hy3 Heretic Parameters and Internals

LLM NameHy3 Heretic
Repository 🤗https://huggingface.co/trohrbaugh/Hy3-heretic 
Model Size295b
Required VRAM323.1 GB
Updated2026-07-10
Maintainertrohrbaugh
Model Typehy_v3
Model Files  9.9 GB: 1-of-79   9.8 GB: 2-of-79   7.4 GB: 3-of-79   7.4 GB: 4-of-79   7.4 GB: 5-of-79   7.4 GB: 6-of-79   7.4 GB: 7-of-79   7.4 GB: 8-of-79   7.4 GB: 9-of-79   7.4 GB: 10-of-79   7.4 GB: 11-of-79   7.4 GB: 12-of-79   7.4 GB: 13-of-79   7.4 GB: 14-of-79   7.4 GB: 15-of-79   7.4 GB: 16-of-79   7.4 GB: 17-of-79   7.4 GB: 18-of-79   7.4 GB: 19-of-79   7.4 GB: 20-of-79   7.4 GB: 21-of-79   7.4 GB: 22-of-79   7.4 GB: 23-of-79   7.4 GB: 24-of-79   7.4 GB: 25-of-79   7.4 GB: 26-of-79   7.4 GB: 27-of-79   7.4 GB: 28-of-79   7.4 GB: 29-of-79   7.4 GB: 30-of-79   7.4 GB: 31-of-79   7.4 GB: 32-of-79   7.4 GB: 33-of-79   7.4 GB: 34-of-79   7.4 GB: 35-of-79   7.4 GB: 36-of-79   7.4 GB: 37-of-79   7.4 GB: 38-of-79   7.4 GB: 39-of-79   7.4 GB: 40-of-79   7.4 GB: 41-of-79   7.4 GB: 42-of-79   7.4 GB: 43-of-79
Model ArchitectureHYV3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.13.0
Vocabulary Size120832

Best Alternatives to Hy3 Heretic

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Context / RAM
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Hy3 Preview 4bit256K / 166.5 GB4062
Hy3 GPTQ RTN 4bit Tp8256K / 161.3 GB462
Note: green Score (e.g. "73.2") means that the model is better than trohrbaugh/Hy3-heretic.

Rank the Hy3 Heretic 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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