🧠
Openthaigpt1.5 7b Instruct model by openthaigpt
⭐ 54.3
🧠
Model

Openthaigpt1.5 7b Instruct

by openthaigpt hf-model--openthaigpt--openthaigpt1.5-7b-instruct
Nexus Index
54.3 Top 100%
S: Semantic 50
A: Authority 47
P: Popularity 23
R: Recency 100
Q: Quality 65
Tech Context
7 Params
4.096K Ctx
Vital Performance
723 DL / 30D
0.0%
Source →
Audited 54.3 FNI Score
7B Params
4k Context
723 Downloads
8G GPU ~7GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID hf-model--openthaigpt--openthaigpt1.5-7b-instruct
License Other
Provider huggingface
💾

Compute Threshold

~6.5GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__openthaigpt__openthaigpt1.5_7b_instruct,
  author = {openthaigpt},
  title = {Openthaigpt1.5 7b Instruct Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/openthaigpt/openthaigpt1.5-7b-instruct}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
openthaigpt. (2026). Openthaigpt1.5 7b Instruct [Model]. Free2AITools. https://huggingface.co/openthaigpt/openthaigpt1.5-7b-instruct

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run openthaigpt1.5-7b-instruct
🤗 HF Download
huggingface-cli download openthaigpt/openthaigpt1.5-7b-instruct
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
54.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 47
Popularity (P) 23
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Openthaigpt1.5 7b Instruct: Semantic (S:50), Authority (A:47), Popularity (P:23), Recency (R:100), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

⚠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.

View Original Source →

📝 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
723Downloads
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--openthaigpt--openthaigpt1.5-7b-instruct
slug
openthaigpt--openthaigpt1.5-7b-instruct
source
huggingface
author
openthaigpt
license
Other
tags
transformers, safetensors, gguf, qwen2, text-generation, openthaigpt, qwen, conversational, th, en, arxiv:2309.00071, arxiv:2411.07238, doi:10.57967/hf/3168, license:other, model-index, text-generation-inference, endpoints_compatible, deploy:azure, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
7
context length
4,096
pipeline tag
text-generation
vram gb
6.5
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
723
stars
0
forks
0

Data indexed from public sources. Updated daily.