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Hy3 FP8 by tencent

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Hy3 FP8 is an open-source language model by tencent. Features: 298.8b LLM, VRAM: 129.6GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.43.

  Conversational   Endpoints compatible   Fp8   Hunyuan   Hy3   Hy v3   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tencent/Hy3-FP8 

Hy3 FP8 Benchmarks

LLME Score: 0.42897
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hy3 FP8 (tencent/Hy3-FP8)
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Hy3 FP8 Parameters and Internals

LLM NameHy3 FP8
Repository 🤗https://huggingface.co/tencent/Hy3-FP8 
Model Size298.8b
Required VRAM129.6 GB
Updated2026-07-13
Maintainertencent
Model Typehy_v3
Model Files  3.6 GB: 1-of-101   3.6 GB: 2-of-101   3.6 GB: 3-of-101   3.6 GB: 4-of-101   3.6 GB: 5-of-101   0.5 GB: 6-of-101   3.6 GB: 7-of-101   3.6 GB: 8-of-101   3.6 GB: 9-of-101   3.6 GB: 10-of-101   3.6 GB: 11-of-101   1.0 GB: 12-of-101   3.6 GB: 13-of-101   3.6 GB: 14-of-101   3.6 GB: 15-of-101   3.6 GB: 16-of-101   3.6 GB: 17-of-101   0.6 GB: 18-of-101   3.6 GB: 19-of-101   3.6 GB: 20-of-101   3.6 GB: 21-of-101   3.6 GB: 22-of-101   3.6 GB: 23-of-101   0.5 GB: 24-of-101   3.6 GB: 25-of-101   3.6 GB: 26-of-101   3.6 GB: 27-of-101   3.6 GB: 28-of-101   3.6 GB: 29-of-101   0.5 GB: 30-of-101   3.6 GB: 31-of-101   3.6 GB: 32-of-101   3.6 GB: 33-of-101   3.6 GB: 34-of-101   3.6 GB: 35-of-101   0.5 GB: 36-of-101   3.6 GB: 37-of-101   3.6 GB: 38-of-101   3.6 GB: 39-of-101   3.6 GB: 40-of-101   3.6 GB: 41-of-101
Model ArchitectureHYV3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.6.0
Vocabulary Size120832

Best Alternatives to Hy3 FP8

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Context / RAM
Downloads
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Hy3 Preview256K / 221.4 GB84964294
Hy3256K / 258.6 GB121552
Note: green Score (e.g. "73.2") means that the model is better than tencent/Hy3-FP8.

Rank the Hy3 FP8 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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