🧠
Model

Gem2 Llamion 14b Longchat

by vaiv hf-model--vaiv--gem2-llamion-14b-longchat
Nexus Index
55.0 Top 100%
S: Semantic 50
A: Authority 39
P: Popularity 43
R: Recency 100
Q: Quality 65
Tech Context
14.5 Params
8.192K Ctx
Vital Performance
8.3K DL / 30D
0.0%
Audited 55 FNI Score
14.5B Params
8k Context
8.3K Downloads
24G GPU ~13GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--vaiv--gem2-llamion-14b-longchat
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~12.2GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__vaiv__gem2_llamion_14b_longchat,
  author = {vaiv},
  title = {Gem2 Llamion 14b Longchat Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/vaiv/GeM2-Llamion-14B-LongChat}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
vaiv. (2026). Gem2 Llamion 14b Longchat [Model]. Free2AITools. https://huggingface.co/vaiv/GeM2-Llamion-14B-LongChat

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run gem2-llamion-14b-longchat
🤗 HF Download
huggingface-cli download vaiv/gem2-llamion-14b-longchat
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

55.0
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 39
Popularity (P) 43
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Gem2 Llamion 14b Longchat: Semantic (S:50), Authority (A:39), Popularity (P:43), Recency (R:100), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

âš 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
8.3KDownloads
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--vaiv--gem2-llamion-14b-longchat
slug
vaiv--gem2-llamion-14b-longchat
source
huggingface
author
vaiv
license
Apache-2.0
tags
transformers, safetensors, llama, text-generation, conversational, arxiv:2605.25676, license:apache-2.0, text-generation-inference, endpoints_compatible, deploy:azure, region:us

âš™ī¸ Technical Specs

architecture
LlamaForCausalLM
params billions
14.5
context length
8,192
pipeline tag
text-generation
vram gb
12.2
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
8,346
stars
0
forks
null

Data indexed from public sources. Updated daily.