🧠
Godel V1 1 Large Seq2seq model by microsoft
⭐ 23.3
🧠
Model

Godel V1 1 Large Seq2seq

by microsoft hf-model--microsoft--godel-v1_1-large-seq2seq
Nexus Index
23.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 10
R: Recency 9
Q: Quality 30
Tech Context
Vital Performance
124 DL / 30D
0.0%
Source →
Audited 23.3 FNI Score
Tiny - Params
- Context
124 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--microsoft--godel-v1_1-large-seq2seq
License MIT
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__microsoft__godel_v1_1_large_seq2seq,
  author = {microsoft},
  title = {Godel V1 1 Large Seq2seq Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/microsoft/godel-v1_1-large-seq2seq}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
microsoft. (2026). Godel V1 1 Large Seq2seq [Model]. Free2AITools. https://huggingface.co/microsoft/godel-v1_1-large-seq2seq

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download microsoft/godel-v1_1-large-seq2seq
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
23.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 10
Recency (R) 9
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Godel V1 1 Large Seq2seq: Semantic (S:50), Authority (A:0), Popularity (P:10), Recency (R:9), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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Deployment Guide

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Technical Deep Dive

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

⚠ī¸ Incomplete Data

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

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📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
124Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--microsoft--godel-v1_1-large-seq2seq
slug
microsoft--godel-v1_1-large-seq2seq
source
huggingface
author
microsoft
license
MIT
tags
transformers, pytorch, t5, text2text-generation, conversational, arxiv:2206.11309, license:mit, text-generation-inference, endpoints_compatible, deploy:azure, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
124
stars
0
forks
0

Data indexed from public sources. Updated daily.