🧠
Tournament Exp S1 B6f0e76b D81c 5ed9 B0f8 A0895d04f4e9 5expa230a4fa458f7b69 model by cwaud
⭐ 39
🧠
Model

Tournament Exp S1 B6f0e76b D81c 5ed9 B0f8 A0895d04f4e9 5expa230a4fa458f7b69

by cwaud cwaud/tournament-exp-s1-b6f0e76b-d81c-5ed9-b0f8-a0895d04f4e9-5expa230a4fa458f7b69
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
76 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
76B Params
4k Context
0 Downloads
H100+ ~60GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID cwaud/tournament-exp-s1-b6f0e76b-d81c-5ed9-b0f8-a0895d04f4e9-5expa230a4fa458f7b69
Provider huggingface
πŸ’Ύ

Compute Threshold

~59.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization. [Multi-GPU / Unified Memory Required]

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{cwaud_tournament_exp_s1_b6f0e76b_d81c_5ed9_b0f8_a0895d04f4e9_5expa230a4fa458f7b69,
  author = {cwaud},
  title = {Tournament Exp S1 B6f0e76b D81c 5ed9 B0f8 A0895d04f4e9 5expa230a4fa458f7b69 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/cwaud/tournament-exp-s1-b6f0e76b-d81c-5ed9-b0f8-a0895d04f4e9-5Expa230a4fa458f7b69}},
  note = {Accessed via Free2AITools.}
}
APA Style
cwaud. (2026). Tournament Exp S1 B6f0e76b D81c 5ed9 B0f8 A0895d04f4e9 5expa230a4fa458f7b69 [Model]. Free2AITools. https://huggingface.co/cwaud/tournament-exp-s1-b6f0e76b-d81c-5ed9-b0f8-a0895d04f4e9-5Expa230a4fa458f7b69

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run tournament-exp-s1-b6f0e76b-d81c-5ed9-b0f8-a0895d04f4e9-5expa230a4fa458f7b69
πŸ€— HF Download
huggingface-cli download cwaud/tournament-exp-s1-b6f0e76b-d81c-5ed9-b0f8-a0895d04f4e9-5expa230a4fa458f7b69
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 Exp S1 B6f0e76b D81c 5ed9 B0f8 A0895d04f4e9 5expa230a4fa458f7b69: 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
---

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--cwaud--tournament-exp-s1-b6f0e76b-d81c-5ed9-b0f8-a0895d04f4e9-5expa230a4fa458f7b69
slug
cwaud--tournament-exp-s1-b6f0e76b-d81c-5ed9-b0f8-a0895d04f4e9-5expa230a4fa458f7b69
source
huggingface
author
cwaud
tags
peft, safetensors, base_model:adapter:/cache/models/0aa587a8d4554c09, dpo, lora, transformers, trl, text-generation, conversational, arxiv:1910.09700, base_model:qwen/qwen2.5-3b-instruct, base_model:adapter:qwen/qwen2.5-3b-instruct, region:us

βš™οΈ Technical Specs

params billions
76
context length
4,096
pipeline tag
text-generation
vram gb
59.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.