🧠
Neural Chat 7b V3 1 model by Intel
⭐ 33.1
🧠
Model

Neural Chat 7b V3 1

by Intel hf-dataset--intel--neural-chat-7b-v3-1
Nexus Index
33.1 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 55
R: Recency 5
Q: Quality 65
Tech Context
7 Params
4.096K Ctx
Vital Performance
8.1K DL / 30D
0.0%
Source →
Audited 33.1 FNI Score
7B Params
4k Context
8.1K Downloads
8G GPU ~7GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-dataset--intel--neural-chat-7b-v3-1
License Apache-2.0
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_dataset__intel__neural_chat_7b_v3_1,
  author = {Intel},
  title = {Neural Chat 7b V3 1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Intel/neural-chat-7b-v3-1}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Intel. (2026). Neural Chat 7b V3 1 [Model]. Free2AITools. https://huggingface.co/Intel/neural-chat-7b-v3-1

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run neural-chat-7b-v3-1
🤗 HF Download
huggingface-cli download intel/neural-chat-7b-v3-1
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
33.1
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 55
Recency (R) 5
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Neural Chat 7b V3 1: Semantic (S:50), Authority (A:0), Popularity (P:55), Recency (R:5), 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.

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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
8.1KDownloads
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-dataset--intel--neural-chat-7b-v3-1
slug
intel--neural-chat-7b-v3-1
source
huggingface
author
Intel
license
Apache-2.0
tags
transformers, pytorch, safetensors, mistral, text-generation, llms, intel, conversational, en, dataset:open-orca/slimorca, arxiv:2306.02707, base_model:mistralai/mistral-7b-v0.1, base_model:finetune:mistralai/mistral-7b-v0.1, license:apache-2.0, 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
8,104
stars
547
forks
0

Data indexed from public sources. Updated daily.