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Qwen3 8b School Of Reward Hacks Last Third Sft Seed3 model by Localized Ft
⭐ 41.2
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Model

Qwen3 8b School Of Reward Hacks Last Third Sft Seed3

by Localized Ft localized-ft/qwen3-8b-school-of-reward-hacks-last-third-sft-seed3
Free2AITools Nexus Index
41.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 15
R: Recency 100
Q: Quality 65
Tech Context
8.19 Params
32.768K Ctx
Vital Performance
276 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 41.2 FNI Score
8.19B Params
32k Context
276 Downloads
24G GPU ~9GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID localized-ft/qwen3-8b-school-of-reward-hacks-last-third-sft-seed3
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{localized_ft_qwen3_8b_school_of_reward_hacks_last_third_sft_seed3,
  author = {Localized Ft},
  title = {Qwen3 8b School Of Reward Hacks Last Third Sft Seed3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/localized-ft/Qwen3-8B-school-of-reward-hacks-last-third-sft-seed3}},
  note = {Accessed via Free2AITools.}
}
APA Style
Localized Ft. (2026). Qwen3 8b School Of Reward Hacks Last Third Sft Seed3 [Model]. Free2AITools. https://huggingface.co/localized-ft/Qwen3-8B-school-of-reward-hacks-last-third-sft-seed3

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-8b-school-of-reward-hacks-last-third-sft-seed3
πŸ€— HF Download
huggingface-cli download localized-ft/qwen3-8b-school-of-reward-hacks-last-third-sft-seed3
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) 15
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 8b School Of Reward Hacks Last Third Sft Seed3: Authority (A:0), Popularity (P:15), Recency (R:100), Quality (Q:65). 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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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.

Social Proof

HuggingFace Hub
276Downloads
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--localized-ft--qwen3-8b-school-of-reward-hacks-last-third-sft-seed3
slug
localized-ft--qwen3-8b-school-of-reward-hacks-last-third-sft-seed3
source
huggingface
author
Localized Ft
license
Apache-2.0
tags
transformers, safetensors, qwen3, text-generation, text-generation-inference, unsloth, conversational, en, base_model:unsloth/qwen3-8b, base_model:finetune:unsloth/qwen3-8b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
8.19
context length
32,768
pipeline tag
text-generation
vram gb
8.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
276

Data indexed from public sources. Updated daily.