🧠
Fcos Symbiote Mistral 7b model by FCOSThinkTank
⭐ 36.7
🧠
Model

Fcos Symbiote Mistral 7b

by FCOSThinkTank hf-model--fcosthinktank--fcos-symbiote-mistral-7b
Nexus Index
36.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 19
R: Recency 97
Q: Quality 30
Tech Context
7 Params
4.096K Ctx
Vital Performance
445 DL / 30D
0.0%
Source →
Audited 36.7 FNI Score
7B Params
4k Context
445 Downloads
8G GPU ~7GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID hf-model--fcosthinktank--fcos-symbiote-mistral-7b
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__fcosthinktank__fcos_symbiote_mistral_7b,
  author = {FCOSThinkTank},
  title = {Fcos Symbiote Mistral 7b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/fcosthinktank/fcos-symbiote-mistral-7b}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
FCOSThinkTank. (2026). Fcos Symbiote Mistral 7b [Model]. Free2AITools. https://huggingface.co/fcosthinktank/fcos-symbiote-mistral-7b

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run fcos-symbiote-mistral-7b
🤗 HF Download
huggingface-cli download fcosthinktank/fcos-symbiote-mistral-7b

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
36.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 19
Recency (R) 97
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Fcos Symbiote Mistral 7b: Semantic (S:50), Authority (A:0), Popularity (P:19), Recency (R:97), 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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🚀 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
445Downloads
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--fcosthinktank--fcos-symbiote-mistral-7b
slug
fcosthinktank--fcos-symbiote-mistral-7b
source
huggingface
author
FCOSThinkTank
license
tags
gguf, endpoints_compatible, region:us, conversational

⚙ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
445
stars
0
forks
0

Data indexed from public sources. Updated daily.