🧠
Bee 8b Rl model by Open Bee
⭐ 44.4
🧠
Model

Bee 8b Rl

by Open Bee hf-dataset--open-bee--bee-8b-rl
Nexus Index
44.4 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 57
R: Recency 78
Q: Quality 65
Tech Context
8 Params
4.096K Ctx
Vital Performance
130.7K DL / 30D
0.0%
Source →
Audited 44.4 FNI Score
8B Params
4k Context
Hot 130.7K Downloads
8G GPU ~8GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-dataset--open-bee--bee-8b-rl
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~7.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__open_bee__bee_8b_rl,
  author = {Open Bee},
  title = {Bee 8b Rl Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Open-Bee/Bee-8B-RL}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Open Bee. (2026). Bee 8b Rl [Model]. Free2AITools. https://huggingface.co/Open-Bee/Bee-8B-RL

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run bee-8b-rl
🤗 HF Download
huggingface-cli download open-bee/bee-8b-rl
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
44.4
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 57
Recency (R) 78
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Bee 8b Rl: Semantic (S:50), Authority (A:0), Popularity (P:57), Recency (R:78), 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
130.7KDownloads
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--open-bee--bee-8b-rl
slug
open-bee--bee-8b-rl
source
huggingface
author
Open Bee
license
Apache-2.0
tags
transformers, safetensors, bee, feature-extraction, bee-8b, fully-open-mllms, image-text-to-text, conversational, custom_code, en, dataset:open-bee/honey-data-15m, arxiv:2510.13795, base_model:qwen/qwen3-8b, base_model:finetune:qwen/qwen3-8b, license:apache-2.0, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
8
context length
4,096
pipeline tag
image-text-to-text
vram gb
7.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
130,710
stars
0
forks
0

Data indexed from public sources. Updated daily.