🧠
Model

Wordle Lora 20260324 163252 Sft Full Smoke

by goyalayus hf-model--goyalayus--wordle-lora-20260324-163252-sft_full_smoke
Nexus Index
37.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 19
R: Recency 95
Q: Quality 65
Tech Context
Vital Performance
431 DL / 30D
0.0%
Audited 37.3 FNI Score
Tiny - Params
- Context
431 Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--goyalayus--wordle-lora-20260324-163252-sft_full_smoke
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__goyalayus__wordle_lora_20260324_163252_sft_full_smoke,
  author = {goyalayus},
  title = {Wordle Lora 20260324 163252 Sft Full Smoke Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/goyalayus/wordle-lora-20260324-163252-sft_full_smoke}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
goyalayus. (2026). Wordle Lora 20260324 163252 Sft Full Smoke [Model]. Free2AITools. https://huggingface.co/goyalayus/wordle-lora-20260324-163252-sft_full_smoke

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download goyalayus/wordle-lora-20260324-163252-sft_full_smoke
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

37.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 19
Recency (R) 95
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Wordle Lora 20260324 163252 Sft Full Smoke: Semantic (S:50), Authority (A:0), Popularity (P:19), Recency (R:95), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

Technical Deep Dive

Model Card for wordle-lora-20260324-163252-sft_full_smoke

This model is a fine-tuned version of unsloth/Qwen3-0.6B. It has been trained using TRL.

Quick start

python
from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="goyalayus/wordle-lora-20260324-163252-sft_full_smoke", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

Visualize in Weights & Biases

This model was trained with SFT.

Framework versions

  • TRL: 0.24.0
  • Transformers: 4.57.6
  • Pytorch: 2.10.0
  • Datasets: 4.3.0
  • Tokenizers: 0.22.2

Citations

Cite TRL as:

bibtex
@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}

âš 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
431Downloads
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--goyalayus--wordle-lora-20260324-163252-sft_full_smoke
slug
goyalayus--wordle-lora-20260324-163252-sft_full_smoke
source
huggingface
author
goyalayus
license
tags
transformers, safetensors, qwen3, text-generation, generated_from_trainer, unsloth, sft, trl, conversational, base_model:unsloth/qwen3-4b, base_model:finetune:unsloth/qwen3-4b, text-generation-inference, endpoints_compatible, region:us, base_model:unsloth/qwen3-0.6b, base_model:finetune:unsloth/qwen3-0.6b

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
text-generation

📊 Engagement & Metrics

downloads
431
stars
0
forks
0

Data indexed from public sources. Updated daily.