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Donorsim Qwen3 8b Reinforce Verl model by 3l3ktr4
⭐ 36.3
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Model

Donorsim Qwen3 8b Reinforce Verl

by 3l3ktr4 3l3ktr4/donorsim-qwen3-8b-reinforce-verl
Free2AITools Nexus Index
36.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 77
Q: Quality 50
Tech Context
8 Params
32.768K Ctx
Vital Performance
3 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 36.3 FNI Score
8B Params
32k Context
3 Downloads
24G GPU ~9GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID 3l3ktr4/donorsim-qwen3-8b-reinforce-verl
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{3l3ktr4_donorsim_qwen3_8b_reinforce_verl,
  author = {3l3ktr4},
  title = {Donorsim Qwen3 8b Reinforce Verl Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/3l3ktr4/donorsim-qwen3-8b-REINFORCE-VERL}},
  note = {Accessed via Free2AITools.}
}
APA Style
3l3ktr4. (2026). Donorsim Qwen3 8b Reinforce Verl [Model]. Free2AITools. https://huggingface.co/3l3ktr4/donorsim-qwen3-8b-REINFORCE-VERL

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run donorsim-qwen3-8b-reinforce-verl
πŸ€— HF Download
huggingface-cli download 3l3ktr4/donorsim-qwen3-8b-reinforce-verl
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 77
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Donorsim Qwen3 8b Reinforce Verl: Authority (A:0), Popularity (P:0), Recency (R:77), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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πŸš€ What's Next?

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Technical Deep Dive

⚠️ 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 β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ 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
3Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--3l3ktr4--donorsim-qwen3-8b-reinforce-verl
slug
3l3ktr4--donorsim-qwen3-8b-reinforce-verl
source
huggingface
author
3l3ktr4
tags
transformers, safetensors, qwen3, text-generation, reinforcement-learning, game-theory, cooperation, donor-game, verl, reinforce-plus-plus, base_model:qwen/qwen3-8b, base_model:finetune:qwen/qwen3-8b, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
8
context length
32,768
pipeline tag
reinforcement-learning
vram gb
8.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
3
stars
0
forks
0

Data indexed from public sources. Updated daily.