🧠
Model

Rl Nmt 2026 04 11 13 52

by odats hf-model--odats--rl_nmt_2026_04_11_13_52
Free2AITools Nexus Index
42.6 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 37
R: Recency 97
Q: Quality 65
Tech Context
1 Params
8.192K Ctx
Vital Performance
4.1K DL / 30D
0.0%
Audited 42.6 FNI Score
Tiny 1B Params
8k Context
4.1K Downloads
8G GPU ~2GB Est. VRAM
Dense GEMMA3FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID hf-model--odats--rl_nmt_2026_04_11_13_52
Provider huggingface
πŸ’Ύ

Compute Threshold

~2GB VRAM

Interactive
Analyze Hardware
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__odats__rl_nmt_2026_04_11_13_52,
  author = {odats},
  title = {Rl Nmt 2026 04 11 13 52 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/odats/rl_nmt_2026_04_11_13_52}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
odats. (2026). Rl Nmt 2026 04 11 13 52 [Model]. Free2AITools. https://huggingface.co/odats/rl_nmt_2026_04_11_13_52

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run rl_nmt_2026_04_11_13_52
πŸ€— HF Download
huggingface-cli download odats/rl_nmt_2026_04_11_13_52
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50
Authority (A) 0
Popularity (P) 37
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Rl Nmt 2026 04 11 13 52: Semantic (S:50), Authority (A:0), Popularity (P:37), Recency (R:97), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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πŸš€ What's Next?

Technical Deep Dive

Model Card for rl_nmt_2026_04_11_13_52

This model is a fine-tuned version of google/gemma-3-1b-it. 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="odats/rl_nmt_2026_04_11_13_52", 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 GRPO, a method introduced in DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Framework versions

  • TRL: 1.0.0
  • Transformers: 4.57.6
  • Pytorch: 2.10.0
  • Datasets: 4.8.4
  • Tokenizers: 0.22.2

Citations

Cite GRPO as:

bibtex
@article{shao2024deepseekmath,
    title        = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
    author       = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
    year         = 2024,
    eprint       = {arXiv:2402.03300},
}

Cite TRL as:

bibtex
@software{vonwerra2020trl,
  title   = {{TRL: Transformers Reinforcement Learning}},
  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and GallouΓ©dec, Quentin},
  license = {Apache-2.0},
  url     = {https://github.com/huggingface/trl},
  year    = {2020}
}

⚠️ 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
4.1KDownloads
πŸ”„ Daily sync (03:00 UTC)

AI 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--odats--rl_nmt_2026_04_11_13_52
slug
odats--rl_nmt_2026_04_11_13_52
source
huggingface
author
odats
license
tags
transformers, safetensors, gemma3_text, text-generation, generated_from_trainer, trl, grpo, conversational, arxiv:2402.03300, base_model:google/gemma-3-1b-it, base_model:finetune:google/gemma-3-1b-it, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Gemma3ForCausalLM
params billions
1
context length
8,192
pipeline tag
text-generation
vram gb
2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
4,069
stars
0
forks
0

Data indexed from public sources. Updated daily.