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Tournament Tourn 1e08b0b313ccc59f 20260817 D53997be Ba53 4161 9580 4bceeb66ed31 5fw2eaae model by Gradients Io Tournaments
⭐ 39
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Model

Tournament Tourn 1e08b0b313ccc59f 20260817 D53997be Ba53 4161 9580 4bceeb66ed31 5fw2eaae

by Gradients Io Tournaments gradients-io-tournaments/tournament-tourn_1e08b0b313ccc59f_20260817-d53997be-ba53-4161-9580-4bceeb66ed31-5fw2eaae
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 99
Q: Quality 65
Tech Context
8 Params
4.096K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
8B Params
4k Context
0 Downloads
8G GPU ~8GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID gradients-io-tournaments/tournament-tourn_1e08b0b313ccc59f_20260817-d53997be-ba53-4161-9580-4bceeb66ed31-5fw2eaae
Provider huggingface
πŸ’Ύ

Compute Threshold

~7.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{gradients_io_tournaments_tournament_tourn_1e08b0b313ccc59f_20260817_d53997be_ba53_4161_9580_4bceeb66ed31_5fw2eaae,
  author = {Gradients Io Tournaments},
  title = {Tournament Tourn 1e08b0b313ccc59f 20260817 D53997be Ba53 4161 9580 4bceeb66ed31 5fw2eaae Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/gradients-io-tournaments/tournament-tourn_1e08b0b313ccc59f_20260817-d53997be-ba53-4161-9580-4bceeb66ed31-5FW2Eaae}},
  note = {Accessed via Free2AITools.}
}
APA Style
Gradients Io Tournaments. (2026). Tournament Tourn 1e08b0b313ccc59f 20260817 D53997be Ba53 4161 9580 4bceeb66ed31 5fw2eaae [Model]. Free2AITools. https://huggingface.co/gradients-io-tournaments/tournament-tourn_1e08b0b313ccc59f_20260817-d53997be-ba53-4161-9580-4bceeb66ed31-5FW2Eaae

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run tournament-tourn_1e08b0b313ccc59f_20260817-d53997be-ba53-4161-9580-4bceeb66ed31-5fw2eaae
πŸ€— HF Download
huggingface-cli download gradients-io-tournaments/tournament-tourn_1e08b0b313ccc59f_20260817-d53997be-ba53-4161-9580-4bceeb66ed31-5fw2eaae
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) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Tournament Tourn 1e08b0b313ccc59f 20260817 D53997be Ba53 4161 9580 4bceeb66ed31 5fw2eaae: Authority (A:0), Popularity (P:0), Recency (R:99), 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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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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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--gradients-io-tournaments--tournament-tourn_1e08b0b313ccc59f_20260817-d53997be-ba53-4161-9580-4bceeb66ed31-5fw2eaae
slug
gradients-io-tournaments--tournament-tourn_1e08b0b313ccc59f_20260817-d53997be-ba53-4161-9580-4bceeb66ed31-5fw2eaae
source
huggingface
author
Gradients Io Tournaments
tags
peft, safetensors, base_model:adapter:/cache/models/0e8a421c792ed27b, lora, sft, transformers, trl, text-generation, conversational, arxiv:1910.09700, base_model:unsloth/llama-3.2-3b-instruct, base_model:adapter:unsloth/llama-3.2-3b-instruct, region:us

βš™οΈ Technical Specs

params billions
8
context length
4,096
pipeline tag
text-generation
vram gb
7.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.