🧠
Hy3 model by tencent
⭐ 60.1
🧠
Model

Hy3

by tencent tencent/hy3
Free2AITools Nexus Index
60.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 57
P: Popularity 46
R: Recency 95
Q: Quality 65
Tech Context
298.79 Params
4.096K Ctx
Vital Performance
14.2K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 60.1 FNI Score
Massive 298.79B Params
4k Context
14.2K Downloads
H100+ ~227GB Est. VRAM
Dense HYV3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID tencent/hy3
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~226.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization. [Multi-GPU / Unified Memory Required]

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{tencent_hy3,
  author = {tencent},
  title = {Hy3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/tencent/Hy3}},
  note = {Accessed via Free2AITools.}
}
APA Style
tencent. (2026). Hy3 [Model]. Free2AITools. https://huggingface.co/tencent/Hy3

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download tencent/hy3
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 57
Popularity (P) 46
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Hy3: Authority (A:57), Popularity (P:46), Recency (R:95), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
14.2KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--tencent--hy3
slug
tencent--hy3
source
huggingface
author
tencent
license
Apache-2.0
tags
transformers, safetensors, hy_v3, text-generation, hunyuan, hy3, moe, conversational, license:apache-2.0, eval-results, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
HYV3ForCausalLM
params billions
298.79
context length
4,096
pipeline tag
text-generation
vram gb
226.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
14,154
stars
null
forks
null

Data indexed from public sources. Updated daily.