🧠
Arc Grpo Nemotron Mini 4b Instruct Rajat Seed 3407 G 16 model by rghosh8
⭐ 34.9
🧠
Model

Arc Grpo Nemotron Mini 4b Instruct Rajat Seed 3407 G 16

by rghosh8 rghosh8/arc-grpo-nemotron-mini-4b-instruct-rajat-seed-3407-g-16
Free2AITools Nexus Index
34.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 70
Q: Quality 50
Tech Context
4 Params
4.096K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 34.9 FNI Score
4B Params
4k Context
0 Downloads
8G GPU ~5GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID rghosh8/arc-grpo-nemotron-mini-4b-instruct-rajat-seed-3407-g-16
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{rghosh8_arc_grpo_nemotron_mini_4b_instruct_rajat_seed_3407_g_16,
  author = {rghosh8},
  title = {Arc Grpo Nemotron Mini 4b Instruct Rajat Seed 3407 G 16 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/rghosh8/arc-grpo-nemotron-mini-4b-instruct-rajat-seed-3407-G-16}},
  note = {Accessed via Free2AITools.}
}
APA Style
rghosh8. (2026). Arc Grpo Nemotron Mini 4b Instruct Rajat Seed 3407 G 16 [Model]. Free2AITools. https://huggingface.co/rghosh8/arc-grpo-nemotron-mini-4b-instruct-rajat-seed-3407-G-16

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run arc-grpo-nemotron-mini-4b-instruct-rajat-seed-3407-g-16
πŸ€— HF Download
huggingface-cli download rghosh8/arc-grpo-nemotron-mini-4b-instruct-rajat-seed-3407-g-16
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) 70
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Arc Grpo Nemotron Mini 4b Instruct Rajat Seed 3407 G 16: Authority (A:0), Popularity (P:0), Recency (R:70), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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.
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--rghosh8--arc-grpo-nemotron-mini-4b-instruct-rajat-seed-3407-g-16
slug
rghosh8--arc-grpo-nemotron-mini-4b-instruct-rajat-seed-3407-g-16
source
huggingface
author
rghosh8
tags
peft, safetensors, grpo, lora, transformers, trl, text-generation, conversational, arxiv:2402.03300, base_model:nvidia/nemotron-mini-4b-instruct, region:us

βš™οΈ Technical Specs

params billions
4
context length
4,096
pipeline tag
text-generation
vram gb
4.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.