🧠
Harrier Oss V1 0.6b Gguf Iq4 Xs model by majentik
⭐ 39.6
🧠
Model

Harrier Oss V1 0.6b Gguf Iq4 Xs

by majentik hf-model--majentik--harrier-oss-v1-0.6b-gguf-iq4_xs
Nexus Index
39.6 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 15
R: Recency 98
Q: Quality 50
Tech Context
0.6B Params
4.096K Ctx
Vital Performance
271 DL / 30D
0.0%
Source →
Audited 39.6 FNI Score
Tiny 0.6B Params
4k Context
271 Downloads
8G GPU ~2GB Est. VRAM
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--majentik--harrier-oss-v1-0.6b-gguf-iq4_xs
License MIT
Provider huggingface
💾

Compute Threshold

~1.8GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__majentik__harrier_oss_v1_0.6b_gguf_iq4_xs,
  author = {majentik},
  title = {Harrier Oss V1 0.6b Gguf Iq4 Xs Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/majentik/harrier-oss-v1-0.6b-gguf-iq4_xs}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
majentik. (2026). Harrier Oss V1 0.6b Gguf Iq4 Xs [Model]. Free2AITools. https://huggingface.co/majentik/harrier-oss-v1-0.6b-gguf-iq4_xs

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run harrier-oss-v1-0.6b-gguf-iq4_xs
🤗 HF Download
huggingface-cli download majentik/harrier-oss-v1-0.6b-gguf-iq4_xs

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.6
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 15
Recency (R) 98
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Harrier Oss V1 0.6b Gguf Iq4 Xs: Semantic (S:50), Authority (A:0), Popularity (P:15), Recency (R:98), Quality (Q:50).

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
271Downloads
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--majentik--harrier-oss-v1-0.6b-gguf-iq4_xs
slug
majentik--harrier-oss-v1-0.6b-gguf-iq4_xs
source
huggingface
author
majentik
license
MIT
tags
gguf, llama-cpp, embeddings, sentence-similarity, feature-extraction, quantized, iq4_xs, harrier, harrier-oss, qwen3, base_model:microsoft/harrier-oss-v1-0.6b, license:mit, endpoints_compatible, region:us, conversational

⚙ī¸ Technical Specs

architecture
null
params billions
0.6
context length
4,096
pipeline tag
feature-extraction
vram gb
1.8
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
271
stars
0
forks
0

Data indexed from public sources. Updated daily.